Print all the data 08:55 Friday, July 11, 2008 1 Obs drug x2 y1 y2 y3 y4 y5 y6 y7 y8 y9 y10 i y x1 combined 1 A 5 15 16 16 15 18 16 13 17 19 15 1 15 0 5 2 A 5 15 16 16 15 18 16 13 17 19 15 2 16 0 5 3 A 5 15 16 16 15 18 16 13 17 19 15 3 16 0 5 4 A 5 15 16 16 15 18 16 13 17 19 15 4 15 0 5 5 A 5 15 16 16 15 18 16 13 17 19 15 5 18 0 5 6 A 5 15 16 16 15 18 16 13 17 19 15 6 16 0 5 7 A 5 15 16 16 15 18 16 13 17 19 15 7 13 0 5 8 A 5 15 16 16 15 18 16 13 17 19 15 8 17 0 5 9 A 5 15 16 16 15 18 16 13 17 19 15 9 19 0 5 10 A 5 15 16 16 15 18 16 13 17 19 15 10 15 0 5 11 A 10 18 16 17 15 18 19 19 18 20 16 1 18 0 10 12 A 10 18 16 17 15 18 19 19 18 20 16 2 16 0 10 13 A 10 18 16 17 15 18 19 19 18 20 16 3 17 0 10 14 A 10 18 16 17 15 18 19 19 18 20 16 4 15 0 10 15 A 10 18 16 17 15 18 19 19 18 20 16 5 18 0 10 16 A 10 18 16 17 15 18 19 19 18 20 16 6 19 0 10 17 A 10 18 16 17 15 18 19 19 18 20 16 7 19 0 10 18 A 10 18 16 17 15 18 19 19 18 20 16 8 18 0 10 19 A 10 18 16 17 15 18 19 19 18 20 16 9 20 0 10 20 A 10 18 16 17 15 18 19 19 18 20 16 10 16 0 10 21 A 20 20 17 19 18 21 21 18 20 19 17 1 20 0 20 22 A 20 20 17 19 18 21 21 18 20 19 17 2 17 0 20 23 A 20 20 17 19 18 21 21 18 20 19 17 3 19 0 20 24 A 20 20 17 19 18 21 21 18 20 19 17 4 18 0 20 25 A 20 20 17 19 18 21 21 18 20 19 17 5 21 0 20 26 A 20 20 17 19 18 21 21 18 20 19 17 6 21 0 20 27 A 20 20 17 19 18 21 21 18 20 19 17 7 18 0 20 28 A 20 20 17 19 18 21 21 18 20 19 17 8 20 0 20 29 A 20 20 17 19 18 21 21 18 20 19 17 9 19 0 20 30 A 20 20 17 19 18 21 21 18 20 19 17 10 17 0 20 31 B 5 16 15 17 15 18 18 17 17 15 16 1 16 1 6 32 B 5 16 15 17 15 18 18 17 17 15 16 2 15 1 6 33 B 5 16 15 17 15 18 18 17 17 15 16 3 17 1 6 34 B 5 16 15 17 15 18 18 17 17 15 16 4 15 1 6 35 B 5 16 15 17 15 18 18 17 17 15 16 5 18 1 6 36 B 5 16 15 17 15 18 18 17 17 15 16 6 18 1 6 37 B 5 16 15 17 15 18 18 17 17 15 16 7 17 1 6 38 B 5 16 15 17 15 18 18 17 17 15 16 8 17 1 6 39 B 5 16 15 17 15 18 18 17 17 15 16 9 15 1 6 40 B 5 16 15 17 15 18 18 17 17 15 16 10 16 1 6 41 B 10 19 18 21 20 22 21 23 22 20 19 1 19 1 11 42 B 10 19 18 21 20 22 21 23 22 20 19 2 18 1 11 43 B 10 19 18 21 20 22 21 23 22 20 19 3 21 1 11 44 B 10 19 18 21 20 22 21 23 22 20 19 4 20 1 11 45 B 10 19 18 21 20 22 21 23 22 20 19 5 22 1 11 46 B 10 19 18 21 20 22 21 23 22 20 19 6 21 1 11 47 B 10 19 18 21 20 22 21 23 22 20 19 7 23 1 11 48 B 10 19 18 21 20 22 21 23 22 20 19 8 22 1 11 49 B 10 19 18 21 20 22 21 23 22 20 19 9 20 1 11 50 B 10 19 18 21 20 22 21 23 22 20 19 10 19 1 11 51 B 20 24 23 25 24 23 22 25 26 25 24 1 24 1 21 52 B 20 24 23 25 24 23 22 25 26 25 24 2 23 1 21 53 B 20 24 23 25 24 23 22 25 26 25 24 3 25 1 21 54 B 20 24 23 25 24 23 22 25 26 25 24 4 24 1 21 55 B 20 24 23 25 24 23 22 25 26 25 24 5 23 1 21 56 B 20 24 23 25 24 23 22 25 26 25 24 6 22 1 21 Print all the data 08:55 Friday, July 11, 2008 2 Obs drug x2 y1 y2 y3 y4 y5 y6 y7 y8 y9 y10 i y x1 combined 57 B 20 24 23 25 24 23 22 25 26 25 24 7 25 1 21 58 B 20 24 23 25 24 23 22 25 26 25 24 8 26 1 21 59 B 20 24 23 25 24 23 22 25 26 25 24 9 25 1 21 60 B 20 24 23 25 24 23 22 25 26 25 24 10 24 1 21 For full model y=x1 x2 x1*x2 08:55 Friday, July 11, 2008 3 The GLM Procedure Number of Observations Read 60 Number of Observations Used 60 For full model y=x1 x2 x1*x2 08:55 Friday, July 11, 2008 4 The GLM Procedure Dependent Variable: y Sum of Source DF Squares Mean Square F Value Pr > F Model 3 442.1047619 147.3682540 61.76 <.0001 Error 56 133.6285714 2.3862245 Corrected Total 59 575.7333333 R-Square Coeff Var Root MSE y Mean 0.767898 8.158843 1.544741 18.93333 Source DF Type I SS Mean Square F Value Pr > F x1 1 117.6000000 117.6000000 49.28 <.0001 x2 1 272.0047619 272.0047619 113.99 <.0001 x1*x2 1 52.5000000 52.5000000 22.00 <.0001 Source DF Type III SS Mean Square F Value Pr > F x1 1 1.63333333 1.63333333 0.68 0.4116 x2 1 42.75238095 42.75238095 17.92 <.0001 x1*x2 1 52.50000000 52.50000000 22.00 <.0001 Standard Parameter Estimate Error t Value Pr > |t| Intercept 15.30000000 0.59827558 25.57 <.0001 x1 -0.70000000 0.84608944 -0.83 0.4116 x2 0.19142857 0.04522538 4.23 <.0001 x1*x2 0.30000000 0.06395835 4.69 <.0001 For full model y=x1 x2 x1*x2 08:55 Friday, July 11, 2008 5 The GLM Procedure Observation Observed Predicted Residual 1 15.00000000 16.25714286 -1.25714286 2 16.00000000 16.25714286 -0.25714286 3 16.00000000 16.25714286 -0.25714286 4 15.00000000 16.25714286 -1.25714286 5 18.00000000 16.25714286 1.74285714 6 16.00000000 16.25714286 -0.25714286 7 13.00000000 16.25714286 -3.25714286 8 17.00000000 16.25714286 0.74285714 9 19.00000000 16.25714286 2.74285714 10 15.00000000 16.25714286 -1.25714286 11 18.00000000 17.21428571 0.78571429 12 16.00000000 17.21428571 -1.21428571 13 17.00000000 17.21428571 -0.21428571 14 15.00000000 17.21428571 -2.21428571 15 18.00000000 17.21428571 0.78571429 16 19.00000000 17.21428571 1.78571429 17 19.00000000 17.21428571 1.78571429 18 18.00000000 17.21428571 0.78571429 19 20.00000000 17.21428571 2.78571429 20 16.00000000 17.21428571 -1.21428571 21 20.00000000 19.12857143 0.87142857 22 17.00000000 19.12857143 -2.12857143 23 19.00000000 19.12857143 -0.12857143 24 18.00000000 19.12857143 -1.12857143 25 21.00000000 19.12857143 1.87142857 26 21.00000000 19.12857143 1.87142857 27 18.00000000 19.12857143 -1.12857143 28 20.00000000 19.12857143 0.87142857 29 19.00000000 19.12857143 -0.12857143 30 17.00000000 19.12857143 -2.12857143 31 16.00000000 17.05714286 -1.05714286 32 15.00000000 17.05714286 -2.05714286 33 17.00000000 17.05714286 -0.05714286 34 15.00000000 17.05714286 -2.05714286 35 18.00000000 17.05714286 0.94285714 36 18.00000000 17.05714286 0.94285714 37 17.00000000 17.05714286 -0.05714286 38 17.00000000 17.05714286 -0.05714286 39 15.00000000 17.05714286 -2.05714286 40 16.00000000 17.05714286 -1.05714286 41 19.00000000 19.51428571 -0.51428571 42 18.00000000 19.51428571 -1.51428571 43 21.00000000 19.51428571 1.48571429 44 20.00000000 19.51428571 0.48571429 45 22.00000000 19.51428571 2.48571429 46 21.00000000 19.51428571 1.48571429 47 23.00000000 19.51428571 3.48571429 48 22.00000000 19.51428571 2.48571429 49 20.00000000 19.51428571 0.48571429 50 19.00000000 19.51428571 -0.51428571 51 24.00000000 24.42857143 -0.42857143 52 23.00000000 24.42857143 -1.42857143 53 25.00000000 24.42857143 0.57142857 For full model y=x1 x2 x1*x2 08:55 Friday, July 11, 2008 6 The GLM Procedure Observation Observed Predicted Residual 54 24.00000000 24.42857143 -0.42857143 55 23.00000000 24.42857143 -1.42857143 56 22.00000000 24.42857143 -2.42857143 57 25.00000000 24.42857143 0.57142857 58 26.00000000 24.42857143 1.57142857 59 25.00000000 24.42857143 0.57142857 60 24.00000000 24.42857143 -0.42857143 95% Confidence Limits for Observation Individual Predicted Value 1 13.05404357 19.46024214 2 13.05404357 19.46024214 3 13.05404357 19.46024214 4 13.05404357 19.46024214 5 13.05404357 19.46024214 6 13.05404357 19.46024214 7 13.05404357 19.46024214 8 13.05404357 19.46024214 9 13.05404357 19.46024214 10 13.05404357 19.46024214 11 14.06502387 20.36354756 12 14.06502387 20.36354756 13 14.06502387 20.36354756 14 14.06502387 20.36354756 15 14.06502387 20.36354756 16 14.06502387 20.36354756 17 14.06502387 20.36354756 18 14.06502387 20.36354756 19 14.06502387 20.36354756 20 14.06502387 20.36354756 21 15.89359973 22.36354313 22 15.89359973 22.36354313 23 15.89359973 22.36354313 24 15.89359973 22.36354313 25 15.89359973 22.36354313 26 15.89359973 22.36354313 27 15.89359973 22.36354313 28 15.89359973 22.36354313 29 15.89359973 22.36354313 30 15.89359973 22.36354313 31 13.85404357 20.26024214 32 13.85404357 20.26024214 33 13.85404357 20.26024214 34 13.85404357 20.26024214 35 13.85404357 20.26024214 36 13.85404357 20.26024214 37 13.85404357 20.26024214 38 13.85404357 20.26024214 39 13.85404357 20.26024214 40 13.85404357 20.26024214 41 16.36502387 22.66354756 42 16.36502387 22.66354756 For full model y=x1 x2 x1*x2 08:55 Friday, July 11, 2008 7 The GLM Procedure 95% Confidence Limits for Observation Individual Predicted Value 43 16.36502387 22.66354756 44 16.36502387 22.66354756 45 16.36502387 22.66354756 46 16.36502387 22.66354756 47 16.36502387 22.66354756 48 16.36502387 22.66354756 49 16.36502387 22.66354756 50 16.36502387 22.66354756 51 21.19359973 27.66354313 52 21.19359973 27.66354313 53 21.19359973 27.66354313 54 21.19359973 27.66354313 55 21.19359973 27.66354313 56 21.19359973 27.66354313 57 21.19359973 27.66354313 58 21.19359973 27.66354313 59 21.19359973 27.66354313 60 21.19359973 27.66354313 Sum of Residuals -0.0000000 Sum of Squared Residuals 133.6285714 Sum of Squared Residuals - Error SS 0.0000000 PRESS Statistic 152.1399220 First Order Autocorrelation 0.1665796 Durbin-Watson D 1.6536394 For partial model y=x1 x2 08:55 Friday, July 11, 2008 8 The GLM Procedure Number of Observations Read 60 Number of Observations Used 60 For partial model y=x1 x2 08:55 Friday, July 11, 2008 9 The GLM Procedure Dependent Variable: y Sum of Source DF Squares Mean Square F Value Pr > F Model 2 389.6047619 194.8023810 59.66 <.0001 Error 57 186.1285714 3.2654135 Corrected Total 59 575.7333333 R-Square Coeff Var Root MSE y Mean 0.676710 9.544255 1.807046 18.93333 Source DF Type I SS Mean Square F Value Pr > F x1 1 117.6000000 117.6000000 36.01 <.0001 x2 1 272.0047619 272.0047619 83.30 <.0001 Source DF Type III SS Mean Square F Value Pr > F x1 1 117.6000000 117.6000000 36.01 <.0001 x2 1 272.0047619 272.0047619 83.30 <.0001 Standard Parameter Estimate Error t Value Pr > |t| Intercept 13.55000000 0.54711020 24.77 <.0001 x1 2.80000000 0.46657715 6.00 <.0001 x2 0.34142857 0.03740940 9.13 <.0001 For pure error estimation 08:55 Friday, July 11, 2008 10 The GLM Procedure Class Level Information Class Levels Values combined 6 5 6 10 11 20 21 Number of Observations Read 60 Number of Observations Used 60 For pure error estimation 08:55 Friday, July 11, 2008 11 The GLM Procedure Dependent Variable: y Sum of Source DF Squares Mean Square F Value Pr > F Model 5 459.5333333 91.9066667 42.71 <.0001 Error 54 116.2000000 2.1518519 Corrected Total 59 575.7333333 R-Square Coeff Var Root MSE y Mean 0.798170 7.747813 1.466919 18.93333 Source DF Type I SS Mean Square F Value Pr > F combined 5 459.5333333 91.9066667 42.71 <.0001 Source DF Type III SS Mean Square F Value Pr > F combined 5 459.5333333 91.9066667 42.71 <.0001