Retail Sales Regression Analysis U.S. Counties in SMSA's Obs county pcsales pcestab pcinc pcfedexp mper100f 1 Chattahoochee, GA 0.15236 0.21939 14.3617 4.7482 191 2 Charles City, VA 0.75481 0.40631 15.8048 2.2954 96 3 Lee, GA 0.79915 0.44877 14.0017 1.6308 103 4 Bedford, VA 0.89849 0.46244 20.2352 2.1736 99 5 Twiggs, GA 0.99075 0.52415 11.8245 2.7024 92 6 Jones, GA 1.14694 0.39485 16.6406 1.4292 94 7 Fluvanna, VA 1.36367 0.61724 16.7379 2.7527 97 8 Dinwiddie, VA 1.60211 0.50787 63.8732 2.3379 100 9 Ohio, IN 1.60526 0.75188 14.6352 2.4415 95 10 Union, TN 1.73724 0.79127 11.2530 2.2939 98 11 Harris, GA 1.84137 0.81520 17.1470 2.6689 98 12 Madison, GA 1.84174 0.65226 14.5232 2.3920 96 13 Fayette, TN 2.15527 0.69463 14.3437 3.0425 95 14 Prince George, VA 2.17620 0.41884 29.5748 13.9960 113 15 Osage, OK 2.27984 0.88991 13.2844 2.7498 99 16 Greene, VA 2.35078 0.92033 14.3374 2.3301 99 17 Sandoval, NM 2.46906 0.73354 14.3687 2.5620 97 18 Wagoner, OK 2.47327 0.79188 14.2840 1.7195 97 19 Clarke, VA 2.48187 1.10843 20.4857 3.0495 98 20 Gallatin, KY 2.55871 0.91824 13.4054 3.1494 99 21 Lamar, MS 2.58884 0.60729 13.7532 1.9727 95 22 Archer, TX 2.61920 1.20171 17.3778 4.4700 100 23 Bronx, NY 2.64107 0.55973 16.2266 0.0000 86 24 Goochland, VA 2.66169 0.63278 25.0029 1.7213 96 25 Stokes, NC 2.74605 0.96430 15.6060 1.7527 97 26 Coryell, TX 2.82249 0.61893 10.8743 1.9958 125 27 Berkeley, SC 2.87607 0.64234 13.2421 1.8091 102 28 Pendleton, KY 2.89438 0.78995 13.1865 2.2834 96 29 Powhatan, VA 2.96391 0.66806 15.8307 1.5723 129 30 Manassas Park, VA 2.97355 0.51465 0.0000 2.1462 99 31 Franklin, NC 2.97468 0.76630 14.1311 2.2996 94 32 St. James, LA 2.98082 0.73232 14.5121 3.9858 92 33 Ray, MO 2.98110 0.78632 14.9548 3.0793 97 34 St. Charles, LA 2.99464 0.61305 17.4148 3.8973 96 35 Lawrence, AL 3.05427 0.86360 13.7673 3.2023 97 36 King George, VA 3.07424 0.71867 18.6186 23.3272 100 37 Wayne, WV 3.11753 0.85718 12.7076 3.1968 94 38 Greenup, KY 3.12212 0.81500 15.1121 2.9295 94 39 Bullitt, KY 3.12467 0.78862 14.0011 3.4287 100 40 Brown, OH 3.15502 0.86318 14.5590 2.4910 97 41 Albemarle, VA 3.16619 0.49387 35.3694 1.8635 96 42 Kings, NY 3.18353 0.68172 18.9535 15.1782 87 43 Madison, NC 3.19559 1.02730 13.6717 4.5251 97 44 Pittsylvania, VA 3.21140 0.77068 30.6746 2.6982 96 45 Polk, OR 3.22738 0.77013 15.6790 3.9334 94 46 Effingham, GA 3.26941 0.55055 14.6317 1.7112 101 47 Logan, OK 3.27505 0.85551 15.2440 3.5218 96 48 Mathews, VA 3.32503 1.15106 19.8559 4.4730 92 49 Cheatham, TN 3.34030 0.80510 14.7453 1.8618 101 50 Benton, MN 3.35631 0.68915 15.2232 2.5670 97 Retail Sales Regression Analysis U.S. Counties in SMSA's Obs county pcsales pcestab pcinc pcfedexp mper100f 51 Wilson, TX 3.43349 0.84653 14.1970 2.50327 99 52 Pike, PA 3.48654 1.10361 16.8106 2.27294 98 53 Walker, GA 3.51299 0.92500 14.3244 2.99612 94 54 Houston, MN 3.52616 1.08367 16.3147 2.96930 99 55 St. Martin, LA 3.57764 0.73988 10.8990 2.80550 94 56 Andrew, MO 3.58962 0.80651 15.3951 2.53539 95 57 Botetourt, VA 3.59636 0.88238 17.3221 2.25099 101 58 St. Clair, AL 3.62098 0.85935 13.9819 2.25371 101 59 York, VA 3.63016 0.69561 25.7623 6.11717 99 60 Lincoln, SD 3.63127 0.86924 19.1679 2.90860 99 61 Unicoi, TN 3.65233 1.01239 14.7588 7.10576 92 62 Grand Isle, VT 3.67175 1.73991 19.3114 2.72395 101 63 Acadia, LA 3.67231 0.88228 12.3645 3.87196 91 64 Poquoson, VA 3.67526 0.83220 0.0000 4.45554 99 65 Orleans, NY 3.68527 0.92917 15.2732 2.45773 102 66 Dale, AL 3.72309 0.93494 14.5860 9.28195 101 67 Carroll, OH 3.74144 0.83928 14.3325 2.13708 97 68 Hawkins, TN 3.74368 0.76477 14.6251 5.51301 96 69 Walton, GA 3.76116 0.83155 16.1186 2.36610 94 70 Alexander, NC 3.79505 0.92225 15.9025 2.18129 99 71 New Kent, VA 3.81105 0.75910 18.3623 2.96589 99 72 Columbia, OR 3.81456 0.98468 17.1016 2.38998 101 73 Isle of Wight, VA 3.82802 0.80747 17.8522 2.79538 95 74 Nye, NV 3.83436 1.15385 16.7451 3.31241 115 75 Caldwell, TX 3.85221 0.95788 12.9976 2.86886 100 76 Blount, AL 3.85312 0.81131 14.8184 2.24940 95 77 Cass, NE 3.85563 1.04157 18.1259 2.93071 100 78 Livingston, LA 3.86560 0.73594 14.2373 1.92241 98 79 Creek, OK 3.86853 0.95466 14.4081 2.59057 95 80 Menard, IL 3.88631 1.27004 18.8274 3.04879 92 81 Warrick, IN 3.94804 0.93269 18.6491 2.14545 97 82 Queens, NY 3.95050 0.82437 23.1615 0.00000 91 83 Mineral, WV 3.96325 1.01927 13.9537 3.82728 94 84 Washington, NY 3.98675 1.11838 14.6873 2.87330 105 85 Webster, MO 3.99320 1.20013 12.9305 2.93815 103 86 Island, WA 4.03579 0.89240 17.3450 6.69747 106 87 Brooke, WV 4.04813 0.88599 14.9173 3.51226 92 88 Perry, PA 4.06695 1.12445 16.1172 2.36941 99 89 Carter, TN 4.07117 0.85978 12.8301 2.67532 94 90 Gadsden, FL 4.07857 0.84876 13.1920 4.73556 91 91 Cherokee, GA 4.09092 0.68218 17.1706 1.25241 101 92 Edgefield, SC 4.13083 0.89008 14.1239 2.83700 94 93 Yuba, CA 4.17629 0.75939 13.9544 5.20120 99 94 Jefferson, WV 4.18695 1.02349 17.1366 3.39291 97 95 Oldham, KY 4.20619 0.73089 23.5407 1.07317 109 96 Edgecombe, NC 4.21922 0.81214 14.7418 3.35461 84 97 Pierce, WI 4.24694 1.23320 16.9563 2.54969 100 98 Chatham, NC 4.25061 0.95667 18.8572 2.22139 95 99 Posey, IN 4.27295 0.92032 18.1613 2.36717 98 100 Carver, MN 4.27790 0.79538 21.5725 1.44639 101 Retail Sales Regression Analysis U.S. Counties in SMSA's Obs county pcsales pcestab pcinc pcfedexp mper100f 101 Ogle, IL 4.33907 0.96630 16.8680 2.3743 96 102 Fort Bend, TX 4.35750 0.72618 20.7901 1.2198 101 103 Upshur, TX 4.38157 1.01094 14.3486 2.9363 94 104 Crawford, AR 4.39522 1.01454 12.6574 3.2024 96 105 Paulding, GA 4.41061 0.62809 13.9290 1.3848 100 106 Leavenworth, KS 4.41592 0.72842 15.3313 7.1262 120 107 Sarpy, NE 4.43085 0.70694 16.7259 6.8566 102 108 Russell, AL 4.44225 0.91803 13.6587 3.3264 92 109 Kendall, IL 4.48061 0.69123 19.9990 1.3381 100 110 Bryan, GA 4.48138 0.85675 13.9308 36.4598 97 111 Henry, GA 4.48514 0.78139 16.9494 2.5000 98 112 Baltimore city, MD 4.50285 0.81863 19.5441 8.2505 88 113 Putnam, NY 4.50496 0.96453 24.5474 1.8952 100 114 Tioga, NY 4.51680 1.03705 16.8695 9.2759 98 115 Hancock, MS 4.51925 0.96180 13.3390 9.2028 99 116 Miami, KS 4.52756 0.96942 16.5809 2.6269 97 117 Elmore, AL 4.53500 1.01659 14.7804 2.9202 103 118 Oconee, GA 4.54098 0.74320 18.3455 1.7096 95 119 San Patricio, TX 4.56577 0.95069 13.1101 3.8506 99 120 Flagler, FL 4.59755 0.84241 14.6917 4.0063 92 121 Clinton, MO 4.61192 1.10630 16.3166 3.0162 94 122 Merced, CA 4.61509 0.69806 14.9820 3.4121 103 123 Sequoyah, OK 4.62384 1.15943 12.8328 3.3712 96 124 Warren, MO 4.62467 0.98541 15.7745 2.3827 98 125 Schoharie, NY 4.63863 1.24203 15.1026 2.6858 96 126 Los Alamos, NM 4.64468 0.84680 27.6683 64.5609 103 127 St. John the Baptist, LA 4.64566 0.68118 14.4458 2.7931 96 128 Sherburne, MN 4.64733 0.80698 15.8082 1.3587 105 129 Davie, NC 4.64868 1.19396 20.3447 2.3993 97 130 Yadkin, NC 4.65892 1.42276 16.0394 2.5905 95 131 Lafayette, MO 4.66273 1.09107 16.7987 3.2183 96 132 Christian, MO 4.66689 1.13894 14.9504 2.0452 96 133 Isanti, MN 4.67825 0.88022 16.0182 2.3671 100 134 Santa Rosa, FL 4.68002 0.92390 16.1581 3.8822 99 135 Floyd, IN 4.68137 0.86378 18.6968 2.6978 92 136 Clinton, IN 4.69686 1.07970 16.3791 2.8192 94 137 St. Landry, LA 4.71859 0.94152 13.0128 4.4253 91 138 Harrison, IN 4.72907 0.99765 15.8138 2.4230 99 139 Portsmouth, VA 4.74604 0.66706 16.0836 11.1361 91 140 Newton, MO 4.74756 1.08860 15.0579 2.8265 95 141 Crawford, OH 4.74898 1.06457 15.5725 3.0026 94 142 Lincoln, MO 4.75785 0.98971 15.4593 2.4529 100 143 Dallas, IA 4.76134 1.09556 19.7318 2.9040 96 144 Delaware, OH 4.76488 0.84018 23.0329 1.8209 98 145 Chambers, TX 4.80076 0.92182 16.7711 3.3193 101 146 Henderson, TX 4.80658 1.05473 14.4563 2.5410 94 147 Richmond, NY 4.83817 0.75561 23.5994 0.0000 94 148 Shelby, AL 4.85170 0.84047 20.4746 1.5089 96 149 Wells, IN 4.85695 1.03935 17.8911 2.1985 95 150 Madison, OH 4.86053 0.86460 15.0551 2.2819 122 Retail Sales Regression Analysis U.S. Counties in SMSA's Obs county pcsales pcestab pcinc pcfedexp mper100f 151 Rogers, OK 4.87099 1.05418 15.9456 2.17010 98 152 Pickaway, OH 4.87598 0.81419 14.6228 2.26068 125 153 Madera, CA 4.87659 0.89874 14.9875 2.71276 106 154 Currituck, NC 4.88342 1.07717 15.4236 2.93762 103 155 Hancock, WV 4.89986 1.01854 17.7175 3.70034 92 156 Butler, KS 4.90135 0.94152 18.3835 2.39341 99 157 Tipton, TN 4.90177 0.88905 14.9000 2.86302 95 158 Lonoke, AR 4.90396 1.04241 15.7562 3.28629 97 159 Pinal, AZ 4.90665 0.81668 12.6996 3.89743 105 160 Bristol, RI 4.91103 1.03345 23.6837 3.02124 95 161 Douglas, CO 4.91178 0.96977 26.3415 0.86606 101 162 Herkimer, NY 4.92779 1.31771 15.1520 3.97097 94 163 Fayette, GA 4.94851 0.87023 22.7334 1.42218 98 164 West Baton Rouge, LA 4.96299 0.76042 16.0263 4.55237 94 165 Carbon, PA 4.96662 1.20578 16.4670 3.57011 94 166 Roanoke, VA 4.96783 0.83749 28.5111 1.69221 90 167 Cass, MO 4.99525 0.89482 17.1851 2.39632 96 168 Lincoln, NC 4.99620 1.02921 16.3018 2.05195 97 169 Lafourche, LA 5.01217 0.94545 13.2736 2.43400 96 170 Jefferson, MO 5.01328 0.75810 15.4870 1.71984 99 171 Butler, OH 5.01396 0.77556 18.3468 2.32506 94 172 Loudon, TN 5.04367 0.94573 15.9246 3.73779 93 173 Woodford, IL 5.05112 1.01937 18.0648 2.11709 96 174 Sumner, TN 5.06217 1.02349 17.6392 2.21779 96 175 Ellis, TX 5.06361 0.97987 17.0222 7.40982 98 176 Wyandotte, KS 5.07058 0.72121 14.8578 4.72728 92 177 Chisago, MN 5.09520 1.16766 16.3910 2.18251 102 178 Polk, MN 5.10894 1.08173 17.2277 4.62878 98 179 Harrison, TX 5.11225 0.82442 15.1059 4.47047 93 180 Geauga, OH 5.12201 0.95611 22.4171 1.39397 98 181 Campbell, VA 5.15349 0.74739 41.8181 1.93681 98 182 Rankin, MS 5.17205 0.84418 16.4074 2.28235 95 183 Bastrop, TX 5.18115 1.00946 14.3539 2.98054 103 184 Scott, MN 5.18217 0.99441 19.7929 1.34242 103 185 Guadalupe, TX 5.20097 0.89819 15.6239 2.82635 98 186 Huntington, IN 5.20897 1.13986 17.7027 2.69763 94 187 Coweta, GA 5.20991 0.91289 17.0810 2.32279 93 188 Canadian, OK 5.21658 1.01554 16.6271 3.15234 101 189 Lawrence, OH 5.21871 0.79445 13.9052 3.52958 91 190 Beaver, PA 5.23766 0.90096 16.8790 3.49081 91 191 Marshall, WV 5.25319 0.90119 14.8589 3.33543 95 192 Washington, VA 5.25371 0.91352 22.1687 2.77001 94 193 Allegan, MI 5.26275 0.99886 17.4191 2.04005 97 194 Valencia, NM 5.26502 0.84202 13.9136 2.88481 101 195 St. Bernard, LA 5.26930 0.92721 14.6765 2.87009 93 196 Warren, IA 5.27313 0.86704 17.4801 2.30942 96 197 Calvert, MD 5.28312 0.91131 20.4615 2.63357 99 198 Philadelphia, PA 5.29180 0.82117 19.1237 7.21433 87 199 DeSoto, MS 5.29857 0.88174 16.6869 1.92504 97 200 Tolland, CT 5.30578 0.95397 21.1479 2.02684 100 Retail Sales Regression Analysis U.S. Counties in SMSA's Obs county pcsales pcestab pcinc pcfedexp mper100f 201 Clinton, MI 5.30951 0.80406 17.4175 3.2238 99 202 Livingston, NY 5.32475 1.03769 16.8437 2.3728 95 203 Jackson, MS 5.33865 0.84590 15.3331 18.2467 97 204 Wayne, NY 5.35301 1.10927 18.2022 2.7090 98 205 Campbell, KY 5.35866 0.83705 16.8873 3.1844 92 206 Rensselaer, NY 5.36518 0.96192 18.8031 3.2530 97 207 Dorchester, SC 5.37398 0.92824 15.1890 2.3193 100 208 Hopewell, VA 5.37513 0.85598 0.0000 4.0572 90 209 Van Buren, MI 5.38352 1.04395 15.2901 3.1431 96 210 Davidson, NC 5.40453 1.00623 16.6398 2.0719 97 211 Woodford, KY 5.41859 1.17879 21.9673 1.8951 92 212 Hancock, IN 5.41886 0.94391 19.8644 1.8506 97 213 Limestone, AL 5.43382 1.00127 16.3759 2.9608 100 214 Dakota, NE 5.44684 1.08519 15.5334 3.4462 99 215 Madison, NY 5.46875 1.15288 17.0720 2.4656 97 216 Suffolk, VA 5.47742 0.79555 17.3466 3.5860 90 217 Hendricks, IN 5.48755 0.83322 20.0816 1.6098 102 218 Wilson, TN 5.49303 0.98070 18.1552 2.1281 98 219 Forsyth, GA 5.49376 0.84501 20.1853 1.4478 101 220 Rowan, NC 5.50536 0.92404 16.0916 2.8230 95 221 Stafford, VA 5.51236 1.00627 17.2007 1.6235 107 222 Amherst, VA 5.51348 0.79661 14.0195 2.5503 93 223 Pickens, SC 5.51648 0.99843 14.5344 2.3326 99 224 Clinton, IL 5.52133 1.06191 18.0664 2.4866 104 225 Hernando, FL 5.53740 0.91405 14.9390 4.2169 93 226 Boone, IL 5.53875 0.90734 18.1019 1.9680 98 227 Carter, KY 5.54747 1.12732 12.0139 3.2338 96 228 Randolph, NC 5.56789 1.05804 16.3441 1.9358 96 229 Christian, KY 5.57449 0.89202 12.9684 15.4696 116 230 Dona Ana, NM 5.57714 0.80945 13.0487 5.1960 99 231 Union, NC 5.57965 0.91058 17.0574 1.7028 97 232 Robertson, TN 5.58291 0.96790 15.5265 2.2748 96 233 Montgomery, TX 5.58993 0.80954 18.7239 2.0420 99 234 Cayuga, NY 5.59414 0.97956 16.1000 2.9725 100 235 Salem, NJ 5.60177 0.83315 20.9469 5.9548 93 236 Onslow, NC 5.61490 0.83167 12.5931 7.8987 141 237 Hampshire, MA 5.63178 1.11562 18.2276 3.5177 90 238 Fauquier, VA 5.63591 0.98530 24.7953 3.8129 101 239 Harvey, KS 5.63809 1.17836 18.7805 3.3212 94 240 St. Louis city, MO 5.64529 0.88832 19.7190 15.6431 84 241 Scott, VA 5.64935 0.87297 13.6543 3.5608 94 242 Boone, IN 5.66103 1.24766 22.6053 2.1159 93 243 Ashtabula, OH 5.66347 1.08569 15.1631 3.0958 94 244 Somerset, PA 5.67286 1.22072 16.0974 3.6095 94 245 Peach, GA 5.68474 0.99317 16.0125 3.6946 91 246 Oswego, NY 5.68647 1.06279 16.7785 2.5075 97 247 Tulare, CA 5.69008 0.89060 15.3183 2.8266 100 248 Calumet, WI 5.69735 0.88179 17.6139 1.9238 99 249 Shelby, IN 5.70465 0.88551 17.8963 2.4561 95 250 Davis, UT 5.71149 0.70914 15.0785 5.1571 101 Retail Sales Regression Analysis U.S. Counties in SMSA's Obs county pcsales pcestab pcinc pcfedexp mper100f 251 Chester, TN 5.72668 1.04415 11.6617 2.93566 92 252 Rockwall, TX 5.72981 1.17938 22.7487 2.73390 99 253 Wyoming, PA 5.73506 1.28094 16.4194 2.79776 98 254 Hardin, TX 5.73510 1.02910 15.7107 2.98566 96 255 Morgan, IN 5.73930 0.98562 17.0626 2.16627 97 256 Sumter, SC 5.74704 0.89799 13.2873 4.79312 100 257 Utah, UT 5.75127 0.75089 13.0420 1.90645 98 258 Northampton, PA 5.76954 0.93570 19.8432 3.12698 95 259 Gloucester, VA 5.77685 0.89834 17.0652 3.48258 98 260 Henry, IL 5.79083 1.04274 16.3824 3.05633 96 261 Comanche, OK 5.79193 0.88246 14.3307 8.86330 109 262 Fairfield, OH 5.79978 0.95179 17.9331 2.24485 99 263 Kenton, KY 5.80227 0.81749 18.7308 3.65317 93 264 Platte, MO 5.80813 0.95381 21.8898 2.19413 99 265 Jersey, IL 5.81456 0.91621 15.5325 2.51704 96 266 Tipton, IN 5.81573 0.97899 18.2716 2.71206 95 267 Burke, NC 5.82669 0.98711 15.7437 2.62521 96 268 Will, IL 5.82912 0.72279 19.6703 1.85339 100 269 Genesee, NY 5.82971 1.13496 17.5578 2.99897 95 270 Monroe, MI 5.84731 0.81321 18.3022 2.41881 98 271 Weld, CO 5.86297 0.91887 16.4603 2.34465 98 272 Cherokee, SC 5.87220 0.97483 13.6814 2.38386 92 273 Scott, IN 5.87883 1.26841 14.4491 3.11899 95 274 Bourbon, KY 5.88305 0.93062 16.3498 6.72009 94 275 Warren, VA 5.88683 1.04227 16.4725 2.66550 97 276 Orange, TX 5.89563 1.00333 16.0227 2.85179 96 277 Warren, OH 5.89722 0.99645 18.9163 1.87069 102 278 Columbiana, OH 5.90088 1.13426 14.8791 3.02852 93 279 Cleveland, OK 5.90710 0.86559 16.1521 3.40612 101 280 Brunswick, NC 5.91890 1.37323 14.4145 3.72951 96 281 Saline, AR 5.92071 0.75297 15.0663 1.75268 98 282 De Kalb, IN 5.92576 1.02545 17.1220 3.17662 96 283 Putnam, WV 5.94204 0.87996 16.2563 2.13685 96 284 Dade, GA 5.94357 1.06551 12.2737 2.42943 96 285 Caldwell, NC 5.95926 1.19890 15.8757 2.26773 97 286 Liberty, TX 5.96716 1.14750 15.3302 3.17284 100 287 Providence, RI 5.97830 1.01847 19.5873 4.55637 91 288 Whitley, IN 5.97995 1.03764 17.2118 2.37816 97 289 Chautauqua, NY 5.98631 1.23161 16.0237 3.56726 94 290 Bartow, GA 5.99280 0.92220 15.1868 1.99633 97 291 Columbia, GA 5.99747 0.83334 17.1837 6.52994 99 292 McClain, OK 6.00316 1.01083 15.0338 2.45279 100 293 Lapeer, MI 6.01279 0.88996 17.1950 1.93420 101 294 Essex, NJ 6.01351 0.87453 26.3898 4.90951 90 295 Williamson, TX 6.02111 0.89660 17.2292 1.55913 97 296 Yolo, CA 6.02470 0.78116 19.6150 3.26450 99 297 Carroll, GA 6.05321 1.06696 14.8068 2.40051 94 298 Portage, OH 6.06483 0.85993 16.3696 2.23669 96 299 Denton, TX 6.06515 0.96810 19.4841 1.78923 98 300 Newton, GA 6.06984 0.84163 14.9636 2.42272 92 Retail Sales Regression Analysis U.S. Counties in SMSA's Obs county pcsales pcestab pcinc pcfedexp mper100f 301 Clark, WA 6.07458 0.81646 19.3667 2.8279 98 302 Orleans, LA 6.08505 0.87904 18.7907 7.7148 87 303 San Joaquin, CA 6.09072 0.80895 17.1297 3.0284 103 304 James City, VA 6.09231 1.12176 28.8463 1.1062 96 305 Sussex, NJ 6.09508 1.01939 22.6045 2.0108 99 306 Culpeper, VA 6.09531 1.08073 18.0534 2.7304 96 307 Hunt, TX 6.09684 1.20085 16.4317 6.7532 95 308 Kern, CA 6.10090 0.85762 15.9682 4.3895 104 309 Vermillion, IN 6.10203 1.06958 16.2399 4.4221 91 310 Johnson, TX 6.10419 1.15921 15.6942 2.2782 98 311 Greene, OH 6.10479 0.84887 18.9093 11.8437 96 312 Queen Anne's, MD 6.10992 1.16879 21.4875 3.6271 98 313 Brazoria, TX 6.12881 0.91830 17.4340 2.3030 108 314 Hays, TX 6.16014 1.07770 15.0720 2.6359 101 315 Porter, IN 6.18056 0.83741 19.9250 2.1318 96 316 Wayne, MI 6.18341 0.71121 18.9423 4.5902 90 317 Monroe, IL 6.19543 0.88597 18.5836 2.4400 97 318 Fulton, OH 6.19650 1.14493 17.6806 2.8028 96 319 District of Columbia 6.20328 0.86261 27.9725 34.6907 88 320 Kaufman, TX 6.27727 1.39720 15.9462 3.4459 96 321 Hudson, NJ 6.27729 1.05480 21.2207 4.1739 94 322 Kane, UT 6.28753 1.63587 13.8470 2.7336 102 323 Washington, NE 6.30457 1.16053 19.8701 2.5628 97 324 Auglaize, OH 6.31908 1.05387 17.9065 2.6107 95 325 Plaquemines, LA 6.32325 0.91647 14.8383 5.3954 104 326 Lenawee, MI 6.32651 1.01761 17.3475 2.7146 100 327 Yamhill, OR 6.33454 0.97235 16.6313 2.9053 101 328 Webster, LA 6.33815 1.05628 14.1872 4.1717 90 329 DeKalb, IL 6.35431 0.93113 17.2173 2.0275 97 330 Jessamine, KY 6.35456 0.89601 15.1114 1.8427 97 331 Cambria, PA 6.36008 1.06881 16.2583 4.7344 93 332 Pasco, FL 6.36071 0.94440 15.4461 4.2626 91 333 Nassau, FL 6.37666 0.99795 19.0611 3.4503 98 334 Barrow, GA 6.37708 1.03289 15.0106 2.3310 96 335 Cameron, TX 6.38263 0.94654 10.6300 2.9165 92 336 Jefferson, OH 6.38388 1.01539 15.9464 4.3498 90 337 Washington, PA 6.38475 1.02547 18.8447 3.9719 92 338 San Bernardino, CA 6.38941 0.81647 16.3593 3.0853 100 339 Clark, OH 6.41076 0.86658 17.8452 3.7746 92 340 El Dorado, CA 6.41322 1.20690 20.3905 2.3811 100 341 Faulkner, AR 6.41641 1.01566 15.1927 2.4235 94 342 Clay, MN 6.42614 0.95454 15.3073 2.8787 93 343 Pottawatomie, OK 6.43263 1.30109 14.2269 3.8842 92 344 Aiken, SC 6.45057 1.03240 18.4742 19.2014 94 345 Autauga, AL 6.45926 0.97968 15.7540 2.8208 95 346 Dearborn, IN 6.47409 1.04581 16.4233 2.3138 96 347 Muskegon, MI 6.47960 0.88625 15.6821 4.1417 96 348 Livingston, MI 6.48151 0.74988 21.5729 1.6296 102 349 Etowah, AL 6.48249 1.12209 15.3233 3.9622 90 350 Wayne, NC 6.50819 1.03747 14.4285 4.4400 100 Retail Sales Regression Analysis U.S. Counties in SMSA's Obs county pcsales pcestab pcinc pcfedexp mper100f 351 Wright, MN 6.50842 0.97406 16.9979 1.79266 102 352 Spotsylvania, VA 6.51227 0.51485 25.2563 1.04715 99 353 Parker, TX 6.53511 1.18681 16.8521 2.29439 100 354 Midland, MI 6.53708 0.88061 22.8111 2.13329 98 355 York, SC 6.55057 1.04358 17.8622 2.12329 93 356 Washington, OH 6.56289 1.09461 15.9018 4.05148 93 357 Berrien, MI 6.58778 1.06255 17.6929 3.42795 92 358 St. Croix, WI 6.59676 1.06687 20.2018 2.07298 100 359 Miller, AR 6.61356 0.99731 13.5840 3.16978 91 360 Newport News, VA 6.63430 0.79112 16.8288 8.88049 97 361 St. Clair, IL 6.63971 0.84750 17.1408 5.54213 92 362 Bossier, LA 6.64069 0.96477 15.9752 6.94025 94 363 Morton, ND 6.64385 0.99486 15.4796 3.37116 98 364 Marion, TN 6.65346 1.09742 13.7899 3.29258 96 365 Madison, IL 6.65989 0.95136 18.7958 3.77981 92 366 Westmoreland, PA 6.66432 1.02902 18.8999 3.46115 92 367 Bell, TX 6.68019 0.98122 16.0276 8.16538 103 368 Washington, MN 6.68141 0.88585 21.6854 1.10501 101 369 Lorain, OH 6.68260 0.82734 17.4829 2.79301 96 370 McHenry, IL 6.68767 0.88438 22.3484 2.01391 100 371 Montgomery, NY 6.72053 1.32415 16.9296 3.85745 91 372 Grundy, IL 6.72290 1.05073 20.4750 2.48061 99 373 Orange, NC 6.72657 0.93685 21.2021 3.73753 91 374 Harford, MD 6.73932 0.78228 19.7684 5.43727 100 375 Sutter, CA 6.75171 0.96085 18.5692 3.03146 98 376 Licking, OH 6.75597 0.92563 17.5890 3.15074 94 377 Fresno, CA 6.76078 0.90868 16.8363 3.06244 99 378 Jackson, MI 6.76979 0.87843 16.7176 2.88246 104 379 Riverside, CA 6.77812 0.88870 17.9103 2.84202 100 380 Hidalgo, TX 6.80048 0.87451 9.8041 2.68639 94 381 Howard, MD 6.80391 0.95264 27.6205 2.94136 99 382 Douglas, KS 6.83163 1.02598 15.7364 2.39701 99 383 Ottawa, MI 6.83391 0.96922 19.7193 2.66501 98 384 Galveston, TX 6.84127 1.06001 18.8089 3.25398 97 385 Benton, AR 6.84888 1.14966 18.1098 3.01860 95 386 Miami, OH 6.85955 1.09150 18.5695 2.58939 95 387 Johnston, NC 6.86834 1.19012 16.6748 2.69236 95 388 Yakima, WA 6.88776 0.91604 16.8502 3.44508 100 389 Clermont, OH 6.88811 0.74082 17.0846 1.78078 96 390 San Luis Obispo, CA 6.89212 1.30991 18.2569 2.79322 106 391 Butler, PA 6.90586 1.07912 18.6722 3.17588 96 392 Ohio, WV 6.91655 1.13519 20.3372 4.78394 87 393 Berkeley, WV 6.91857 1.11803 15.8821 4.68120 99 394 Canyon, ID 6.92702 0.95100 14.0860 2.87725 97 395 Wood, OH 6.93038 0.94459 18.6457 2.02656 93 396 Trumbull, OH 6.93379 0.94815 18.4064 2.96318 92 397 Oneida, NY 6.94445 1.19021 17.2910 6.79557 99 398 Yuma, AZ 6.94447 0.87257 13.0940 4.37115 104 399 Lake, FL 6.95091 1.06570 17.3428 4.09600 92 400 Cumberland, NJ 6.95698 0.96477 18.8740 3.88618 97 Retail Sales Regression Analysis U.S. Counties in SMSA's Obs county pcsales pcestab pcinc pcfedexp mper100f 401 El Paso, TX 6.96857 0.84354 12.4106 3.7608 94 402 Mercer, PA 6.97033 1.02877 16.5367 3.6441 94 403 Crittenden, AR 6.97159 0.84078 14.2024 3.3979 89 404 Charlotte, FL 6.97708 1.01638 17.6236 4.2007 93 405 Solano, CA 6.97955 0.83191 18.9514 4.9975 104 406 Sheboygan, WI 7.00636 0.98747 19.1928 2.6433 98 407 Harrison, MS 7.01591 1.10427 14.6794 6.8378 98 408 Cecil, MD 7.02195 0.87972 17.9077 3.1852 100 409 Ascension, LA 7.02551 0.91837 16.4581 2.3382 96 410 Butte, CA 7.02933 1.07368 16.2168 3.6370 96 411 Gaston, NC 7.03690 0.93768 16.8186 2.3606 93 412 Monterey, CA 7.04307 1.01431 21.1702 4.3657 108 413 Calhoun, AL 7.04642 1.14376 15.1953 6.4647 93 414 Centre, PA 7.06206 1.02966 16.7081 3.5941 107 415 Jefferson, AR 7.08199 1.06172 14.2162 4.8547 93 416 Rockland, NY 7.08594 1.03772 26.3792 2.6895 94 417 Norfolk, VA 7.10864 0.75461 16.4478 16.5297 111 418 Schenectady, NY 7.11735 1.09805 21.7714 7.7771 91 419 Franklin, MO 7.12976 1.14104 16.8115 2.4939 98 420 Saratoga, NY 7.13233 1.13581 20.1804 2.2725 98 421 Chemung, NY 7.13520 1.11721 17.2573 3.8069 94 422 St. Tammany, LA 7.13520 1.03354 18.3746 2.7953 97 423 Medina, OH 7.13875 0.95833 19.3530 1.8433 97 424 Columbia, PA 7.13954 1.35841 16.0495 12.3302 90 425 Napa, CA 7.14688 1.06477 24.4354 3.5596 98 426 St. Clair, MI 7.15867 0.95573 17.9007 2.7374 95 427 Virginia Beach, VA 7.15924 0.86073 19.8815 4.3229 103 428 Racine, WI 7.16863 0.99666 20.1553 2.7826 95 429 Lexington, SC 7.16942 1.08055 18.2398 2.0024 95 430 Anderson, SC 7.17070 1.14981 15.8629 2.7149 92 431 Camden, NJ 7.17319 0.92946 21.7006 3.7941 93 432 Cumberland, NC 7.17860 0.90150 15.9693 9.5070 105 433 Kitsap, WA 7.18586 0.93768 18.6182 8.7360 105 434 Montgomery, TN 7.21592 0.97808 14.7477 2.3316 104 435 Ozaukee, WI 7.21931 1.09090 27.1850 2.2333 99 436 Madison, KY 7.22732 1.15087 14.4536 3.3885 91 437 Kenosha, WI 7.23004 0.97983 18.0783 2.7120 96 438 Washington, WI 7.23330 0.99694 20.7340 2.2004 100 439 Cabarrus, NC 7.24814 1.15492 17.8582 2.5671 94 440 Hanover, VA 7.25222 0.97155 20.3252 2.0392 96 441 St. Lucie, FL 7.26214 1.01636 15.4286 3.3716 96 442 Clay, FL 7.26495 0.95811 17.4119 2.6125 97 443 Spartanburg, SC 7.26710 1.09226 16.6546 2.7980 93 444 Eaton, MI 7.27141 0.86447 18.6494 4.9208 95 445 Rutherford, TN 7.27717 0.97302 18.1221 2.3762 97 446 Madison, IN 7.28005 0.99891 16.7706 3.2431 96 447 Clark, KY 7.28406 1.04063 16.2353 2.9869 93 448 Los Angeles, CA 7.28966 0.98730 21.6526 4.4384 100 449 Spalding, GA 7.30077 0.95472 15.1239 2.6596 92 450 Kankakee, IL 7.30643 0.91462 16.9958 3.5227 94 Retail Sales Regression Analysis U.S. Counties in SMSA's Obs county pcsales pcestab pcinc pcfedexp mper100f 451 Strafford, NH 7.30785 0.93545 18.4323 3.2154 94 452 Delaware, IN 7.31663 0.97014 17.5112 2.9655 91 453 Rapides, LA 7.32257 0.90641 14.9955 5.0940 91 454 Lebanon, PA 7.32920 1.19517 18.4050 4.5966 96 455 Mobile, AL 7.34911 0.89671 15.5598 3.6614 90 456 Chesapeake, VA 7.35732 0.82076 17.9219 3.1348 96 457 Anoka, MN 7.37158 0.75330 17.8994 1.8541 101 458 Grant, KY 7.37723 1.17738 14.0645 2.6328 97 459 Cuyahoga, OH 7.37915 0.93406 22.7597 4.6894 89 460 Niagara, NY 7.38019 1.09719 18.0600 3.5961 92 461 Pueblo, CO 7.38033 1.07575 15.5794 4.1501 94 462 Tuscaloosa, AL 7.39281 0.93773 16.0613 3.2608 93 463 Ector, TX 7.39856 1.07532 14.6367 2.1673 96 464 St. Charles, MO 7.40136 0.94913 19.6277 1.9158 99 465 Fayette, PA 7.40617 1.17491 15.1773 5.0052 91 466 Carroll, MD 7.41006 1.10426 21.7658 3.5245 97 467 Tom Green, TX 7.41052 1.16820 16.7244 4.2561 94 468 Bexar, TX 7.41183 0.96059 17.1811 5.3968 95 469 Pierce, WA 7.42612 0.89661 18.5608 4.4403 100 470 Luzerne, PA 7.43909 1.18087 18.3883 4.6333 90 471 Stanislaus, CA 7.43943 0.90096 16.7942 2.6267 97 472 St. Johns, FL 7.44404 1.35768 24.1225 3.2603 94 473 Garfield, OK 7.45695 1.19294 17.3136 5.0982 93 474 Henrico, VA 7.46199 0.82499 24.3831 1.3109 87 475 Lackawanna, PA 7.46359 1.20065 18.6921 4.6942 88 476 McLennan, TX 7.48245 1.13391 16.2353 4.1473 94 477 Monroe, IN 7.48594 1.07676 16.2943 3.0593 94 478 Hamilton, IN 7.48767 1.01197 28.0163 1.5098 96 479 Adams, CO 7.48915 0.91096 16.7181 3.5071 99 480 Santa Barbara, CA 7.49722 1.12530 23.6066 5.5443 102 481 Scott, KY 7.49831 1.04071 18.4457 2.7077 94 482 Dickson, TN 7.50171 1.15491 15.3342 2.6013 94 483 Chesterfield, VA 7.50810 0.78677 22.2242 1.1161 96 484 Bay, MI 7.51876 1.03222 18.1155 3.1052 94 485 Polk, FL 7.51878 0.95202 16.2917 3.0899 94 486 Calhoun, MI 7.52161 0.96280 17.9868 4.6152 94 487 Chippewa, WI 7.53411 1.11515 16.1574 3.9047 98 488 Prince William, VA 7.53433 0.77735 23.4372 3.3348 105 489 Calcasieu, LA 7.53945 0.95665 16.0001 3.7648 94 490 Manatee, FL 7.54982 1.05482 20.8768 3.7821 90 491 Cook, IL 7.55424 0.82490 23.1751 3.9330 93 492 Warren, NJ 7.55635 1.17983 21.5928 2.9649 94 493 Lake, IN 7.56003 0.88093 17.8995 3.3163 92 494 Charles, MD 7.57367 0.75462 20.0674 3.6621 99 495 Colbert, AL 7.59046 1.17688 15.6924 5.1652 92 496 Erie, PA 7.59722 1.02158 17.9912 3.2924 94 497 Suffolk, MA 7.59763 0.92765 26.1189 10.5421 93 498 Union, NJ 7.60242 0.93517 27.8195 3.6165 92 499 Washington, MD 7.60900 1.07986 16.6410 3.5782 104 500 Erie, NY 7.61584 1.00478 19.7247 3.9327 91 Retail Sales Regression Analysis U.S. Counties in SMSA's Obs county pcsales pcestab pcinc pcfedexp mper100f 501 San Diego, CA 7.62613 0.94847 20.7265 5.4296 103 502 Essex, MA 7.62793 1.07186 23.1287 5.4272 92 503 Alameda, CA 7.63164 0.96797 23.7273 5.6127 97 504 Champaign, IL 7.63172 0.92115 17.2467 3.8826 102 505 Milwaukee, WI 7.63197 0.86944 20.4815 4.2068 90 506 Washington, RI 7.64135 1.20708 20.9000 3.2597 96 507 Allegany, MD 7.68010 1.21452 15.9230 5.2362 89 508 Henderson, KY 7.68366 1.04003 16.8546 2.6096 93 509 Dutchess, NY 7.69044 1.18379 22.5303 2.9382 101 510 Broome, NY 7.69834 1.12287 19.1461 3.9747 93 511 Weber, UT 7.71212 0.86744 16.4863 4.7677 97 512 Middlesex, CT 7.71233 1.23669 25.3402 2.7550 96 513 Marion, FL 7.71879 1.11416 15.6466 3.7395 93 514 Worcester, MA 7.72242 1.03453 20.0596 3.4624 95 515 Douglas, WI 7.72495 1.13295 15.4834 4.3831 95 516 Brazos, TX 7.74140 0.88399 13.8261 2.8281 106 517 Pima, AZ 7.76183 0.91837 16.7197 5.0256 96 518 Bannock, ID 7.76736 1.12763 14.9307 2.9786 99 519 Terrebonne, LA 7.77338 1.03821 13.2664 2.5532 96 520 Hampden, MA 7.77424 1.02390 19.3371 4.0421 91 521 Lycoming, PA 7.78946 1.21079 17.1155 3.6110 93 522 Ocean, NJ 7.79002 0.97378 22.2848 4.0227 89 523 Mahoning, OH 7.80188 1.04145 17.4351 3.9889 90 524 Daviess, KY 7.81468 1.20361 16.6212 3.0110 92 525 Adams, IN 7.82226 1.21603 15.7720 2.4697 96 526 Thurston, WA 7.83207 0.98144 19.9033 6.2967 95 527 Frederick, MD 7.84806 0.99668 20.2036 3.0643 97 528 Franklin, VT 7.84819 1.31076 16.0995 3.1083 98 529 Marathon, WI 7.85688 1.06420 17.8579 2.5976 98 530 Benton, WA 7.87044 0.98037 20.1716 12.4508 98 531 Johnson, IA 7.87167 0.93205 18.8968 3.5159 99 532 Rock Island, IL 7.87200 0.98476 20.0371 5.6723 93 533 Ventura, CA 7.87991 0.93103 21.9375 3.6694 102 534 Sacramento, CA 7.88436 0.93442 20.3973 8.5761 96 535 Nueces, TX 7.89207 1.06316 17.1239 4.4517 96 536 New London, CT 7.89461 1.16303 22.2794 7.5703 100 537 Orange, NY 7.90068 1.09191 19.5417 3.2901 101 538 Lancaster, PA 7.91625 1.29445 20.0679 2.5975 95 539 Baldwin, AL 7.91984 1.33560 16.9346 3.0406 95 540 Buchanan, MO 7.92018 1.10911 16.9980 3.6285 90 541 Summit, OH 7.92594 0.93177 19.8767 3.5319 92 542 Clay, IN 7.92663 1.16580 15.4795 3.2995 92 543 Monroe, NY 7.92708 0.93379 22.7735 3.5327 93 544 Durham, NC 7.92962 1.08169 20.7881 5.6351 90 545 Franklin, WA 7.94678 0.79834 15.5565 3.5638 106 546 St. Louis, MN 7.94945 1.15812 17.2778 4.0006 95 547 Caddo, LA 7.95210 0.89945 17.7374 4.0862 88 548 Contra Costa, CA 7.95265 0.93530 27.1775 3.1797 96 549 Shasta, CA 7.95695 1.20041 17.3002 3.5577 96 550 Stark, OH 7.96385 1.09325 17.9858 3.1805 92 Retail Sales Regression Analysis U.S. Counties in SMSA's Obs county pcsales pcestab pcinc pcfedexp mper100f 551 Wichita, TX 7.96514 1.29060 17.7739 5.5747 95 552 Marion, OR 7.96572 0.98352 16.9229 4.1568 98 553 Grayson, TX 7.98650 1.30626 17.3885 3.5090 91 554 Elkhart, IN 7.99183 1.10529 18.5746 2.1586 96 555 Snohomish, WA 8.00109 0.91979 20.5512 2.1348 100 556 Prince George's, MD 8.00638 0.77373 21.1398 6.9615 94 557 Lauderdale, AL 8.01031 1.27616 16.0672 3.2138 91 558 New Haven, CT 8.01519 1.03314 23.6335 3.8527 93 559 Kane, IL 8.01896 0.95970 21.4923 2.9135 99 560 Richland, OH 8.03997 1.07064 16.2999 2.9305 98 561 Mesa, CO 8.04479 1.10957 16.9246 4.0055 95 562 Delaware, PA 8.05679 0.93076 24.5120 3.9351 91 563 Winnebago, IL 8.06479 0.97374 19.4569 2.8107 94 564 Denver, CO 8.06507 1.10671 24.1715 10.3971 95 565 Tazewell, IL 8.06564 1.04058 18.7095 3.2116 94 566 Montgomery, OH 8.07793 0.90777 20.0236 4.9912 92 567 Volusia, FL 8.07976 1.18552 16.3303 4.7128 94 568 Pottawattamie, IA 8.08277 1.00018 16.7373 6.3872 93 569 Bristol, MA 8.08742 1.08960 18.3082 3.4288 92 570 Lancaster, NE 8.09046 1.03108 19.4777 4.2615 96 571 Jackson, MO 8.11418 0.98022 20.1491 5.8513 91 572 Collin, TX 8.11774 0.96705 24.8340 1.5820 99 573 Santa Cruz, CA 8.12386 1.20377 23.0469 2.5798 99 574 Morgan, AL 8.12893 1.31882 18.1637 4.0169 95 575 Dubuque, IA 8.16732 1.24453 18.0976 3.0959 94 576 Berks, PA 8.19018 1.18148 20.7785 2.9235 94 577 Middlesex, MA 8.19811 0.97218 27.6883 6.2961 93 578 Salt Lake, UT 8.20457 0.90921 17.4412 3.1634 99 579 Onondaga, NY 8.21587 1.08411 20.1398 3.9704 92 580 Alachua, FL 8.23958 1.05203 17.5051 3.8622 96 581 Taylor, TX 8.25574 1.32693 16.8393 5.1782 95 582 Catoosa, GA 8.25853 0.87638 13.4235 1.7323 94 583 Belmont, OH 8.26314 1.17504 15.3434 4.0050 89 584 Madison, AL 8.26856 1.04635 21.0374 15.7062 97 585 Rock, WI 8.27235 0.99841 18.6251 3.3049 95 586 Douglas, GA 8.27279 0.91088 16.5899 1.7857 99 587 Pitt, NC 8.28648 1.11320 16.7572 2.6120 91 588 Allegheny, PA 8.28993 0.96941 23.5389 5.3356 88 589 St. Joseph, IN 8.30140 1.03018 18.4912 4.9277 93 590 Washington, TN 8.30483 1.28025 17.2515 3.7833 94 591 Suffolk, NY 8.32592 1.08771 23.8023 3.4861 96 592 Shelby, TN 8.32923 0.92524 20.5089 4.4133 91 593 Mercer, NJ 8.33085 0.98248 28.3386 8.1547 94 594 Genesee, MI 8.35340 0.96558 18.4935 3.1364 92 595 Maricopa, AZ 8.35967 0.93521 19.4160 3.7176 97 596 Richmond, GA 8.36319 0.90282 17.3292 4.4073 99 597 Blair, PA 8.37676 1.12294 16.4001 4.2853 89 598 Victoria, TX 8.38132 1.20838 18.3714 2.5779 95 599 El Paso, CO 8.38889 1.02693 18.3600 6.3430 101 600 Larimer, CO 8.39970 1.23946 18.4007 2.6290 98 Retail Sales Regression Analysis U.S. Counties in SMSA's Obs county pcsales pcestab pcinc pcfedexp mper100f 601 Woodbury, IA 8.40443 1.07764 18.9577 3.6287 93 602 Ontario, NY 8.41038 1.24531 19.6479 3.1616 97 603 Anderson, TN 8.42128 1.07492 18.3416 33.4389 91 604 Randall, TX 8.42687 1.14542 19.0921 0.9128 93 605 Comal, TX 8.43206 1.48863 19.6536 4.3794 96 606 Dauphin, PA 8.43497 1.10523 21.5369 8.9744 92 607 Burlington, NJ 8.45242 0.91213 23.2962 5.1291 98 608 Clackamas, OR 8.45668 0.94165 21.3397 2.5838 97 609 Jefferson, CO 8.46317 1.05489 22.5614 4.9488 98 610 Tarrant, TX 8.47362 1.05486 20.6856 4.9867 98 611 Ouachita, LA 8.48115 1.05884 14.9627 3.0531 89 612 Natrona, WY 8.51856 1.39181 21.4287 3.6801 97 613 Richland, SC 8.52082 1.09324 18.5700 6.7246 95 614 East Baton Rouge, LA 8.52882 0.90411 18.7545 4.3784 92 615 Shawnee, KS 8.53036 1.08890 19.7959 5.8774 94 616 Jefferson, TX 8.53653 1.09563 18.9313 4.0475 92 617 Gloucester, NJ 8.53809 0.95595 19.8788 2.7847 95 618 Midland, TX 8.54381 1.24286 23.0185 2.0023 95 619 Muscogee, GA 8.54980 0.92819 16.7440 6.6384 94 620 Okaloosa, FL 8.55795 1.24392 17.7569 9.0056 102 621 Tippecanoe, IN 8.56469 0.89096 17.2764 3.0513 103 622 Escambia, FL 8.56900 1.05630 16.3343 6.1766 95 623 Lucas, OH 8.57247 0.89575 19.4070 3.5094 91 624 Sonoma, CA 8.57693 1.13200 22.8895 2.8281 96 625 Middlesex, NJ 8.57758 0.93941 25.1625 3.0695 97 626 Alamance, NC 8.58115 1.27696 17.6764 2.7141 91 627 Fairfax, VA 8.61001 0.85508 32.3587 7.3603 99 628 Spokane, WA 8.62082 0.98313 18.1579 3.8639 95 629 Lane, OR 8.62359 1.14758 17.2768 3.1409 95 630 Hunterdon, NJ 8.64204 1.23035 30.1069 2.1489 100 631 Leon, FL 8.64364 0.94557 17.9736 9.0152 93 632 Duval, FL 8.65179 0.95206 18.6186 5.2625 97 633 Kalamazoo, MI 8.67629 0.93202 20.6029 2.8665 93 634 Westchester, NY 8.67691 1.09207 35.1312 3.7156 91 635 McLean, IL 8.67715 0.98950 19.8729 2.2938 92 636 Harris, TX 8.68009 1.02415 22.2519 2.9753 99 637 Peoria, IL 8.68363 1.05488 19.7698 3.7024 92 638 Berkshire, MA 8.69212 1.43310 21.5180 5.9582 92 639 Wood, WV 8.70725 1.10644 17.7382 3.9529 91 640 Macon, IL 8.71414 1.03042 19.1701 3.1907 91 641 Plymouth, MA 8.71810 1.05326 20.5406 3.2397 96 642 Passaic, NJ 8.72461 0.96613 21.8372 3.9340 93 643 Mohave, AZ 8.73741 1.26506 14.5882 3.5495 99 644 Coconino, AZ 8.74348 1.29092 14.7617 3.5717 99 645 Hinds, MS 8.74866 1.00413 17.4790 5.2746 88 646 Jefferson, KY 8.76868 0.99230 21.5315 3.7731 90 647 Anne Arundel, MD 8.77171 0.98010 22.7449 5.1311 102 648 Johnson, IN 8.78861 1.12670 19.8302 2.1744 95 649 Black Hawk, IA 8.79260 1.08792 17.4294 3.7882 91 650 York, PA 8.79966 1.13208 20.0386 3.1590 96 Retail Sales Regression Analysis U.S. Counties in SMSA's Obs county pcsales pcestab pcinc pcfedexp mper100f 651 Chatham, GA 8.83682 1.02436 19.0156 6.04973 92 652 Smith, TX 8.84555 1.30511 18.8574 3.16182 93 653 Orange, CA 8.85200 1.10367 24.8914 3.70104 102 654 Dougherty, GA 8.85708 1.10215 15.6615 4.75372 88 655 Allen, IN 8.87352 1.02100 20.7541 3.88626 94 656 Winnebago, WI 8.87375 1.02254 19.7075 5.41818 96 657 Santa Clara, CA 8.88369 0.99739 26.7789 5.09216 103 658 McDuffie, GA 8.89059 1.19224 15.1206 2.89567 89 659 Bowie, TX 8.89365 1.15227 16.5845 6.83573 93 660 Ramsey, MN 8.90133 0.91390 22.7619 5.54001 92 661 Buncombe, NC 8.91912 1.26272 18.4885 3.90649 91 662 Clark, NV 8.94435 0.90542 21.0896 3.94718 103 663 Williamson, TN 8.96328 1.26807 26.5318 1.81362 97 664 Montgomery, AL 8.96554 1.01452 19.6093 8.01583 90 665 Ingham, MI 8.96726 0.96604 18.9760 5.32943 93 666 Florence, SC 8.97221 1.43275 16.1107 3.18906 89 667 Kent, MI 8.97428 0.91574 20.6095 2.69060 94 668 Sedgwick, KS 8.98663 1.04979 20.8271 4.74863 96 669 Madison, MS 8.99467 1.22744 15.9930 4.82573 90 670 Hartford, CT 9.01926 1.01360 26.0791 4.78636 93 671 Hood, TX 9.02071 1.54184 19.4115 2.92026 99 672 Hamilton, OH 9.02127 0.97926 22.9513 5.46144 90 673 Outagamie, WI 9.02267 0.99505 19.8802 2.26241 98 674 Monmouth, NJ 9.02461 1.12593 27.2969 4.41153 94 675 Dade, FL 9.02475 1.05865 16.8553 3.98825 92 676 Sangamon, IL 9.02539 1.10719 20.8067 9.04913 89 677 Sullivan, TN 9.04070 1.16176 17.6988 3.47368 92 678 Loudoun, VA 9.05840 1.05036 25.7069 2.87352 99 679 Allen, OH 9.06319 1.15521 17.3195 5.01665 99 680 Eau Claire, WI 9.06840 1.13002 16.8400 3.07634 93 681 Lubbock, TX 9.07640 1.19084 17.0190 3.24845 97 682 Seminole, FL 9.08879 1.04060 19.6978 1.99940 96 683 Howard, IN 9.09593 1.19416 19.2940 2.90876 92 684 Nash, NC 9.09750 1.30136 17.2656 2.72066 91 685 Atlantic, NJ 9.09821 1.21481 24.1931 4.44590 93 686 Brown, WI 9.11954 1.04529 19.8697 2.71954 96 687 Androscoggin, ME 9.12574 1.12674 17.5423 3.38896 94 688 Dakota, MN 9.13042 0.84358 22.5023 2.05833 98 689 San Francisco, CA 9.14928 1.46446 32.0357 6.69985 99 690 De Kalb, GA 9.15029 1.07269 22.0552 3.32679 92 691 Madison, TN 9.16225 1.22701 17.2422 3.65757 89 692 Rockdale, GA 9.16378 0.92574 18.4691 1.76705 98 693 Saginaw, MI 9.17176 1.01559 17.4307 3.34906 91 694 Craighead, AR 9.18059 1.27039 15.3094 3.03904 93 695 Penobscot, ME 9.18074 1.26056 16.9663 3.85339 96 696 Linn, IA 9.18214 1.09958 20.4276 4.33280 95 697 Boulder, CO 9.19917 1.21991 23.6397 3.98325 101 698 Jefferson, AL 9.20101 1.00150 19.8973 4.37795 88 699 Hillsborough, FL 9.20488 1.06866 18.4053 3.62781 95 700 Cascade, MT 9.21560 1.24569 17.7565 8.18656 98 Retail Sales Regression Analysis U.S. Counties in SMSA's Obs county pcsales pcestab pcinc pcfedexp mper100f 701 Arlington, VA 9.22558 0.91627 32.8837 26.2782 97 702 Greenville, SC 9.24416 1.23322 18.7174 2.8395 93 703 Gwinnett, GA 9.24780 1.00836 21.6679 1.3641 99 704 Ada, ID 9.25068 1.15204 21.3837 3.8612 97 705 Douglas, NE 9.25186 0.99908 22.4520 4.0026 93 706 Norfolk, MA 9.26518 0.96476 28.1738 3.3449 91 707 Multnomah, OR 9.27160 1.12950 21.7188 4.8323 95 708 Scott, IA 9.29409 1.00485 19.2868 2.9418 94 709 Laramie, WY 9.31250 1.05697 19.3281 7.0774 99 710 Lehigh, PA 9.34778 1.15343 21.6369 3.1831 93 711 Kanawha, WV 9.35612 0.97201 19.7193 5.3817 90 712 Bernalillo, NM 9.36514 1.02733 18.6746 8.4273 96 713 Hamilton, TN 9.38349 1.22074 20.0904 6.2771 89 714 Blount, TN 9.38721 1.01027 16.6682 2.8287 93 715 Lake, OH 9.39279 1.01611 20.4002 2.4021 95 716 Kent, DE 9.39473 1.09108 16.1152 5.5314 96 717 Boone, MO 9.40090 1.06197 18.1437 3.5102 94 718 Brevard, FL 9.42306 1.05206 18.7209 9.7520 98 719 Houston, GA 9.42990 0.87674 16.3746 10.1637 96 720 Bay, FL 9.43818 1.43958 16.4186 5.7860 97 721 Oklahoma, OK 9.44356 1.21601 19.1235 5.6805 93 722 Forrest, MS 9.44925 1.28246 14.2014 3.8525 87 723 Montgomery, MD 9.49082 0.96027 33.4268 9.4372 93 724 Cabell, WV 9.51515 1.13491 17.5806 4.8311 88 725 Petersburg, VA 9.52347 1.10473 0.0000 5.1704 84 726 Washington, AR 9.52881 1.18089 16.7869 3.0452 98 727 Wake, NC 9.54928 1.20080 23.0597 4.1482 97 728 New Castle, DE 9.57264 0.95172 23.6367 3.3350 94 729 Dane, WI 9.59475 1.01464 22.2045 4.8657 97 730 Jackson, OR 9.61954 1.22976 17.3534 3.4793 96 731 San Mateo, CA 9.65264 1.04931 30.5706 3.0680 97 732 Danville, VA 9.65988 1.28294 0.0000 3.5456 84 733 Macomb, MI 9.66417 0.93752 21.6180 4.0578 95 734 Lafayette, LA 9.68032 1.10712 17.4687 2.3400 94 735 Bibb, GA 9.70523 1.07128 18.6628 4.3892 87 736 Burleigh, ND 9.70789 1.15307 18.7479 5.7155 94 737 King, WA 9.73219 1.12145 27.7528 4.4976 97 738 Clarke, GA 9.74384 1.13206 16.2000 3.9700 91 739 Placer, CA 9.75274 1.33896 22.7462 2.8776 98 740 Osceola, FL 9.75470 1.11530 15.2582 2.3444 96 741 Charleston, SC 9.78304 1.23478 17.9743 8.4041 97 742 Baltimore, MD 9.78325 0.99994 24.9056 4.0668 92 743 Fulton, GA 9.83974 1.13109 28.4277 6.6266 91 744 Waukesha, WI 9.84605 1.00229 25.1981 2.1950 99 745 Hampton, VA 9.84775 0.81543 16.4836 9.7638 95 746 Lee, FL 9.87748 1.24102 20.3534 3.8041 94 747 Chester, PA 9.88379 0.91336 29.0313 2.5939 96 748 Bucks, PA 9.88693 1.04313 23.9997 2.6549 97 749 Jefferson, LA 9.89615 1.03500 18.1934 2.8865 93 750 Dallas, TX 9.89627 1.14473 23.4876 3.7796 97 Retail Sales Regression Analysis U.S. Counties in SMSA's Obs county pcsales pcestab pcinc pcfedexp mper100f 751 Grand Forks, ND 9.9474 0.96477 16.0006 5.1774 105 752 Honolulu, HI 9.9572 1.04404 24.4165 6.4871 103 753 Cobb, GA 9.9740 1.07950 23.1957 7.0321 97 754 Lake, IL 9.9877 0.98290 30.6235 3.0453 102 755 Somerset, NJ 10.0138 1.04661 35.5706 2.7536 97 756 St. Louis, MO 10.0159 0.96828 27.3216 3.1385 91 757 Tulsa, OK 10.0219 1.16100 20.7000 3.1089 93 758 Sebastian, AR 10.0359 1.31117 18.0034 3.4127 94 759 Pinellas, FL 10.0454 1.16552 21.7383 5.2852 88 760 Washtenaw, MI 10.0518 0.90803 24.2972 3.6105 98 761 Travis, TX 10.0839 1.06364 20.1677 6.5480 100 762 Guilford, NC 10.0854 1.19460 21.6078 5.0344 90 763 Jasper, MO 10.0887 1.46173 16.6129 3.5946 91 764 Mecklenburg, NC 10.1346 1.12087 23.5307 2.6766 93 765 Clay, MO 10.1608 1.05160 19.7339 2.0069 94 766 Martin, FL 10.1785 1.45064 29.8170 3.9790 97 767 Catawba, NC 10.1873 1.38797 19.4056 2.3559 95 768 Clark, IN 10.1915 1.10419 17.3830 3.5198 92 769 Houston, AL 10.2068 1.31183 17.4076 3.0736 90 770 Polk, IA 10.2073 1.10230 22.3177 5.6272 91 771 Hillsborough, NH 10.2223 1.13953 22.7221 4.0908 96 772 Pickens, GA 10.2321 1.23374 16.5358 2.9156 96 773 Pulaski, AR 10.2363 1.16400 20.0272 5.4859 91 774 Washoe, NV 10.2398 1.08002 25.5780 3.2688 103 775 Forsyth, NC 10.2411 1.25018 22.5716 3.2820 90 776 Franklin, OH 10.2422 0.94392 20.7964 4.4330 93 777 Palm Beach, FL 10.2474 1.20004 31.3649 4.9094 93 778 La Crosse, WI 10.2634 1.07708 18.5791 2.9636 93 779 Chittenden, VT 10.2706 1.41125 21.5444 3.7141 94 780 Vanderburgh, IN 10.2776 1.10928 19.9351 3.5959 89 781 Cape May, NJ 10.3200 1.91736 22.2788 4.5513 93 782 Yellowstone, MT 10.3462 1.23557 18.9405 3.5014 94 783 Olmsted, MN 10.3514 1.05626 21.9469 2.8982 95 784 Marion, IN 10.3583 1.01143 21.4451 5.1814 91 785 Pennington, SD 10.3816 1.35165 17.7576 5.0130 99 786 Cass, ND 10.4194 1.04780 19.1672 3.8704 99 787 Cumberland, PA 10.4210 1.21577 21.8090 4.5292 95 788 Missoula, MT 10.4788 1.27857 17.2106 3.4110 97 789 Washington, OR 10.4956 0.97817 21.2916 1.7692 96 790 Potter, TX 10.5058 1.41336 16.6534 7.6093 93 791 Richmond, VA 10.5092 1.23298 25.2646 9.4172 84 792 Hennepin, MN 10.5365 0.99742 27.1749 4.3013 94 793 Kent, RI 10.5379 1.20564 20.8065 3.3648 92 794 Morris, NJ 10.5693 1.11611 33.4106 3.7395 96 795 Sarasota, FL 10.5957 1.38119 27.7909 5.0407 88 796 Johnson, KS 10.6160 1.09071 27.9272 2.6543 94 797 Knox, TN 10.6227 1.22279 19.5925 3.8026 92 798 Boyd, KY 10.6366 1.26585 18.4813 4.0896 95 799 Albany, NY 10.6377 1.11500 23.5389 14.2825 90 800 Marin, CA 10.6405 1.45558 37.3294 2.7777 98 Retail Sales Regression Analysis U.S. Counties in SMSA's Obs county pcsales pcestab pcinc pcfedexp mper100f 801 Anchorage, AK 10.6426 1.03997 25.2458 6.7746 107 802 Orange, FL 10.6439 1.11237 18.9290 4.4979 98 803 Gregg, TX 10.6510 1.64538 18.8190 3.0896 92 804 Fairfield, CT 10.6584 1.10954 36.3156 5.3086 93 805 Fayette, KY 10.7457 1.10176 20.8627 3.4095 92 806 Webb, TX 10.7565 1.04288 10.4229 2.8599 93 807 DuPage, IL 10.8086 0.92877 29.4189 1.9605 98 808 Bergen, NJ 10.8604 1.21608 33.8440 3.3194 92 809 Nassau, NY 10.8731 1.19978 32.2142 5.2007 94 810 New Hanover, NC 10.9082 1.42151 18.2912 3.3563 91 811 Clayton, GA 10.9207 0.95913 16.8475 1.9759 95 812 Santa Fe, NM 10.9272 1.61420 20.3232 4.9740 97 813 Oakland, MI 10.9927 1.07855 28.8387 2.7534 95 814 Collier, FL 11.0619 1.48754 28.4403 3.1446 99 815 Montgomery, PA 11.0966 1.25985 31.8329 3.9973 93 816 Minnehaha, SD 11.2564 1.18431 20.6284 3.8855 93 817 Broward, FL 11.3092 1.18113 22.9083 3.7882 92 818 Whatcom, WA 11.3721 1.26368 18.1434 4.4875 97 819 Greene, MO 11.4958 1.29413 18.4192 3.2592 92 820 Barnstable, MA 11.6479 1.94716 22.9450 5.1583 90 821 Davidson, TN 11.6700 1.27031 22.5117 3.7000 90 822 Waller, TX 11.6971 0.90019 15.5936 3.0991 97 823 Arapahoe, CO 11.7149 1.03254 24.9911 2.5998 95 824 Horry, SC 11.8948 1.93566 16.0276 3.3783 96 825 New York, NY 11.9726 1.56112 50.2339 0.0000 89 826 Rockingham, NH 11.9737 1.44132 23.3114 3.0046 98 827 Alexandria, VA 12.1094 1.19947 32.5084 16.9785 91 828 Warren, NY 12.2573 1.87188 19.3586 3.2834 93 829 Cumberland, ME 12.2880 1.35895 22.2477 4.0498 92 830 Sevier, TN 12.5542 2.44139 15.9035 2.5552 95 831 Roanoke, VA 14.0006 1.38416 19.7897 6.3035 86 832 Stearns, MN 14.3367 1.10753 15.8346 2.4790 101 833 Bristol, VA 14.4762 1.98520 0.0000 5.4100 81 834 Salem, VA 14.9952 1.46225 0.0000 6.9631 91 835 Boone, KY 15.4450 1.13898 18.4665 2.8912 96 836 Lynchburg, VA 15.4531 1.28847 0.0000 4.0440 82 837 Vigo, IN 15.6134 1.04502 16.5334 3.8435 96 838 Manassas, VA 16.2184 1.49616 0.0000 11.5370 105 839 Colonial Heights, VA 18.9868 1.74957 0.0000 3.9304 88 840 Bedford, VA 20.1811 3.35380 0.0000 5.1803 89 841 Fredericksburg, VA 20.9099 2.45530 0.0000 7.9828 85 842 Charlottesville, VA 22.1334 2.28989 0.0000 7.8133 89 843 Falls Church, VA 25.2988 2.19533 0.0000 75.9517 91 844 Williamsburg, VA 32.3493 2.51958 0.0000 13.0382 88 845 Fairfax, VA 45.7588 2.34047 0.0000 36.4835 95 Retail Sales Regression Analysis U.S. Counties in SMSA's The CORR Procedure 5 Variables: pcsales pcestab pcinc pcfedexp mper100f Simple Statistics Variable N Mean Std Dev Sum Minimum Maximum pcsales 845 7.18985 3.04357 6075 0.15236 45.75882 pcestab 845 1.03126 0.24080 871.41653 0.21939 3.35380 pcinc 845 18.37772 5.21133 15529 0 63.87322 pcfedexp 845 4.15434 4.59561 3510 0 75.95170 mper100f 845 96.03314 6.01549 81148 81.00000 191.00000 Pearson Correlation Coefficients, N = 845 Prob > |r| under H0: Rho=0 pcsales pcestab pcinc pcfedexp mper100f pcsales 1.00000 0.68059 0.00659 0.30033 -0.26624 <.0001 0.8484 <.0001 <.0001 pcestab 0.68059 1.00000 -0.12311 0.15995 -0.28157 <.0001 0.0003 <.0001 <.0001 pcinc 0.00659 -0.12311 1.00000 -0.04778 -0.00494 0.8484 0.0003 0.1653 0.8860 pcfedexp 0.30033 0.15995 -0.04778 1.00000 -0.03544 <.0001 <.0001 0.1653 0.3035 mper100f -0.26624 -0.28157 -0.00494 -0.03544 1.00000 <.0001 <.0001 0.8860 0.3035 Retail Sales Regression Analysis U.S. Counties in SMSA's The REG Procedure Model: MODEL1 Dependent Variable: pcsales Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 4 4033.50522 1008.37631 223.80 <.0001 Error 840 3784.72836 4.50563 Corrected Total 844 7818.23358 Root MSE 2.12265 R-Square 0.5159 Dependent Mean 7.18985 Adj R-Sq 0.5136 Coeff Var 29.52283 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Type I SS Type II SS Intercept 1 1.15389 1.39194 0.83 0.4073 43681 3.09632 pcestab 1 8.06328 0.32265 24.99 <.0001 3621.39243 2813.99698 pcinc 1 0.05507 0.01415 3.89 0.0001 64.84018 68.28284 pcfedexp 1 0.13245 0.01611 8.22 <.0001 302.35459 304.42172 mper100f 1 -0.04000 0.01267 -3.16 0.0016 44.91803 44.91803 Retail Sales Regression Analysis U.S. Counties in SMSA's DFREG SSREG MSREG F_OBS PVAL_F 4 4033.5052 1008.3763 223.80367 0 DFRES SSRES MSRES 840 3784.7284 4.505629 DFTOTC SSTOTC 844 7818.2336 S R_SQUARE 2.1226467 0.51591 YBAR ADJ_RSQ 7.1898483 0.5136049 CV 29.52283 BETAHAT0 SBETAHAT0 T0 P0 R0 R0_1234 1.153893 1.3919386 0.8289827 0.4073497 43681.361 3.0963239 BETAHAT1 SBETAHAT1 T1 P1 R1_0 R1_0234 8.0632773 0.3226469 24.991027 0 3621.3924 2813.997 BETAHAT2 SBETAHAT2 T2 P2 R2_01 R2_0134 0.0550683 0.0141457 3.8929432 0.0001069 64.840183 68.282838 BETAHAT3 SBETAHAT3 T3 P3 R3_012 R3_0124 0.1324487 0.0161134 8.2197783 6.661E-16 302.35459 304.42172 Retail Sales Regression Analysis U.S. Counties in SMSA's BETAHAT4 SBETAHAT4 T4 P4 R4_0123 R4_0123 -0.040004 0.0126697 -3.157422 0.0016485 44.918027 44.918027