1 10:07 Thursday, November 18, 2010 The REG Procedure Model: MODEL1 Dependent Variable: logprizeperrnd Number of Observations Read 100 Number of Observations Used 100 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 7 70.01697 10.00242 47.83 <.0001 Error 92 19.24032 0.20913 Corrected Total 99 89.25729 Root MSE 0.45731 R-Square 0.7844 Dependent Mean 7.83584 Adj R-Sq 0.7680 Coeff Var 5.83615 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 2.34050 2.18218 1.07 0.2863 rounds 1 0.02687 0.00333 8.06 <.0001 drivedist 1 0.00222 0.00849 0.26 0.7943 frwypct 1 0.00213 0.01283 0.17 0.8683 grnregpct 1 0.09078 0.02128 4.27 <.0001 aveputts 1 -0.11357 0.02279 -4.98 <.0001 avesandshot 1 -0.00990 0.23661 -0.04 0.9667 sandsvpct 1 0.00518 0.00567 0.91 0.3640 2 10:07 Thursday, November 18, 2010 The REG Procedure Model: MODEL1 Dependent Variable: logprizeperrnd Number of Observations Read 100 Number of Observations Used 100 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 3 69.83068 23.27689 115.03 <.0001 Error 96 19.42661 0.20236 Corrected Total 99 89.25729 Root MSE 0.44985 R-Square 0.7824 Dependent Mean 7.83584 Adj R-Sq 0.7756 Coeff Var 5.74086 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 3.02768 0.99963 3.03 0.0032 rounds 1 0.02739 0.00306 8.94 <.0001 grnregpct 1 0.09299 0.01547 6.01 <.0001 aveputts 1 -0.11280 0.02224 -5.07 <.0001 3 10:07 Thursday, November 18, 2010 The MODEL Procedure Model Summary Model Variables 1 Parameters 4 Equations 1 Number of Statements 1 Model Variables logprizeperrnd Parameters b0 b1 b2 b3 Equations logprizeperrnd The Equation to Estimate is logprizeperrnd = F(b0(1), b1(rounds), b2(grnregpct), b3(aveputts)) NOTE: At OLS Iteration 1 CONVERGE=0.001 Criteria Met. 4 10:07 Thursday, November 18, 2010 The MODEL Procedure OLS Estimation Summary Data Set Options DATA= REG2OUT Minimization Summary Parameters Estimated 4 Method Gauss Iterations 1 Final Convergence Criteria R 0 PPC 0 RPC(b0) 29976.01 Object 0.996869 Trace(S) 0.202361 Objective Value 0.194266 Observations Processed Read 100 Solved 100 5 10:07 Thursday, November 18, 2010 The MODEL Procedure Nonlinear OLS Summary of Residual Errors DF DF Adj Equation Model Error SSE MSE R-Square R-Sq logprizeperrnd 4 96 19.4266 0.2024 0.7824 0.7756 Nonlinear OLS Parameter Estimates Approx Approx Parameter Estimate Std Err t Value Pr > |t| b0 3.027677 0.9996 3.03 0.0032 b1 0.027392 0.00306 8.94 <.0001 b2 0.092986 0.0155 6.01 <.0001 b3 -0.1128 0.0222 -5.07 <.0001 Number of Observations Statistics for System Used 100 Objective 0.1943 Missing 0 Objective*N 19.4266 Heteroscedasticity Test Equation Test Statistic DF Pr > ChiSq Variables logprizeperrnd Breusch-Pagan 9.07 3 0.0284 1, rounds, grnregpct, aveputts