The SAS System The REG Procedure Model: MODEL1 Dependent Variable: wheatyld Number of Observations Read 30 Number of Observations Used 30 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 3 781897 260632 22.87 <.0001 Error 26 296270 11395 Corrected Total 29 1078168 Root MSE 106.74745 R-Square 0.7252 Dependent Mean 720.26667 Adj R-Sq 0.6935 Coeff Var 14.82055 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 832.12163 70.52709 11.80 <.0001 rain 1 -0.35110 0.22102 -1.59 0.1243 temp 1 -338.67626 75.08325 -4.51 0.0001 raintemp 1 0.49989 0.24441 2.05 0.0511 The SAS System The REG Procedure Model: MODEL1 Dependent Variable: wheatyld Durbin-Watson D 1.992 Number of Observations 30 1st Order Autocorrelation -0.078 The SAS System The REG Procedure Model: MODEL1 Dependent Variable: e2 Number of Observations Read 30 Number of Observations Used 30 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 3 702654873 234218291 2.06 0.1301 Error 26 2956237910 113701458 Corrected Total 29 3658892783 Root MSE 10663 R-Square 0.1920 Dependent Mean 9875.68255 Adj R-Sq 0.0988 Coeff Var 107.97318 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 10631 7045.00756 1.51 0.1433 rain 1 -3.67394 22.07815 -0.17 0.8691 temp 1 7297.76606 7500.12641 0.97 0.3395 raintemp 1 -40.44346 24.41386 -1.66 0.1096 The SAS System The MODEL Procedure Model Summary Model Variables 1 Parameters 4 Equations 1 Number of Statements 1 Model Variables wheatyld Parameters b0 b1 b2 b3 Equations wheatyld The Equation to Estimate is wheatyld = F(b0(1), b1(rain), b2(temp), b3(raintemp)) NOTE: At OLS Iteration 1 CONVERGE=0.001 Criteria Met. The SAS System The MODEL Procedure OLS Estimation Summary Data Set Options DATA= ARG_WHEAT Minimization Summary Parameters Estimated 4 Method Gauss Iterations 1 Final Convergence Criteria R 0 PPC 0 RPC(b0) 8238827 Object 0.982196 Trace(S) 11395.02 Objective Value 9875.683 Observations Processed Read 30 Solved 30 The SAS System The MODEL Procedure Nonlinear OLS Summary of Residual Errors DF DF Adj Equation Model Error SSE MSE Root MSE R-Square R-Sq wheatyld 4 26 296270 11395.0 106.7 0.7252 0.6935 Nonlinear OLS Parameter Estimates Approx Approx Parameter Estimate Std Err t Value Pr > |t| b0 832.1216 70.5271 11.80 <.0001 b1 -0.3511 0.2210 -1.59 0.1243 b2 -338.676 75.0833 -4.51 0.0001 b3 0.499891 0.2444 2.05 0.0511 Number of Observations Statistics for System Used 30 Objective 9876 Missing 0 Objective*N 296270 Heteroscedasticity Test Equation Test Statistic DF Pr > ChiSq Variables wheatyld Breusch-Pagan 5.76 3 0.1238 1, rain, temp, raintemp