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6 Pages

d13

Course: STAT 479, Spring 2012
School: Iowa State
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Word Count: 269

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D13 SAS EXAMPLE Program data evap; input wtloss time humid; time=time-5.5; humid=humid-.3; humidsq=humid*humid; timehumid=time*humid; timehumidsq=time*humidsq; datalines; 4.3 4 .2 5.6 5 .2 6.4 6 .2 8.0 7 .2 4.0 4 .3 5.2 5 .3 6.6 6 .3 7.5 7 .3 3.2 4 .4 4.0 5 .4 5.6 6 .4 6.4 7 .4 ; run; proc reg; model wtloss= time humid humidsq timehumid timehumidsq/vif; model wtloss= time humid humidsq; title 'Regressiom Models...

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D13 SAS EXAMPLE Program data evap; input wtloss time humid; time=time-5.5; humid=humid-.3; humidsq=humid*humid; timehumid=time*humid; timehumidsq=time*humidsq; datalines; 4.3 4 .2 5.6 5 .2 6.4 6 .2 8.0 7 .2 4.0 4 .3 5.2 5 .3 6.6 6 .3 7.5 7 .3 3.2 4 .4 4.0 5 .4 5.6 6 .4 6.4 7 .4 ; run; proc reg; model wtloss= time humid humidsq timehumid timehumidsq/vif; model wtloss= time humid humidsq; title 'Regressiom Models with and without Interaction Terms'; run; SAS Log 3 4 5 6 7 8 9 10 data evap; input wtloss time humid; time=time-5.5; humid=humid-.3; humidsq=humid*humid; timehumid=time*humid; timehumidsq=time*humidsq; datalines; NOTE: The data set WORK.EVAP has 12 observations and 6 variables. NOTE: DATA statement used (Total process time): real time 0.09 seconds cpu time 0.01 seconds 23 24 25 26 27 28 29 30 ; run; proc reg; model wtloss= time humid humidsq timehumid timehumidsq/vif; model wtloss= time humid humidsq; title 'Regressiom Models with and without Interaction Terms'; run; SAS Output Regressiom Models with and without Interaction Terms The REG Procedure Model: MODEL1 Dependent Variable: wtloss Number of Observations Read Number of Observations Used 12 12 1 Analysis of Variance Sum of Squares 24.08467 0.28200 24.36667 Mean Square 4.81693 0.04700 Source Error Model Corrected Total DF 5 6 11 F Value 102.49 Pr > F <.0001 Root MSE Dependent Mean Coeff Var 0.21679 5.56667 3.89452 R-Square Adj R-Sq 0.9884 0.9788 Parameter Estimates Parameter Estimate 5.82500 1.19000 -6.37500 -38.75000 -0.35000 -3.50000 Standard Error 0.10840 0.09695 0.76649 13.27592 0.68557 11.87434 Variance Inflation 0 3.00000 1.00000 1.00000 1.00000 3.00000 Variable Intercept time humid humidsq timehumid timehumidsq DF 1 1 1 1 1 1 t Value 53.74 12.27 -8.32 -2.92 -0.51 -0.29 Pr > |t| <.0001 <.0001 0.0002 0.0267 0.6279 0.7781 Regressiom Models with and without Interaction Terms The REG Procedure Model: MODEL2 Dependent Variable: wtloss Number of Observations Read Number of Observations Used 12 12 2 Analysis of Variance Sum of Squares 24.06833 0.29833 24.36667 Mean Square 8.02278 0.03729 Source Model Error Corrected Total DF 3 8 11 F Value 215.14 Pr > F <.0001 Root MSE Dependent Mean Coeff Var 0.19311 5.56667 3.46905 R-Square Adj R-Sq 0.9878 0.9832 Parameter Estimates Parameter Estimate 5.82500 1.16667 -6.37500 -38.75000 Standard Error 0.09656 0.04986 0.68275 11.82555 Variable Intercept time humid humidsq DF 1 1 1 1 t Value 60.33 23.40 -9.34 -3.28 Pr > |t| <.0001 <.0001 <.0001 0.0112
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Iowa State - STAT - 479
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Iowa State - STAT - 479
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