Question: Part 3: Reduce the model using Stepwise Return to the Model Specication Window. Change the personality to Stepwise and click Run. In this exercise, we'll

 Part 3: Reduce the model using Stepwise Return to the Model

Part 3: Reduce the model using Stepwise Return to the Model Specication Window. Change the personality to Stepwise and click Run. In this exercise, we'll explore the different stopping rules and directions. Note that this model includes one nominal variable, Hybrid?, which has strange labeling in the Current Estimates table. JMP codes nominal variables as indicator columns the labeling lets us know that coding has been applied. a. The default Stopping Rule is Minimum BIC. Click Go. The predictors selected for the model are checked as they are entered under Current Estimates. Which terms have been selected for the model? Click Remove All, change the Stopping Rule to Minimum AIC, then click Go. Which terms have been selected for this model? Compare this model to the model found using Minimum BIC. Note: BIC will tend to select models with fewer predictors, while AIC will tend to result in models with more predictors. Now, change the Stopping Rule from Minimum AIC to P-value Threshold. The default selection routine, under Direction, is Forward. Click Go. Change the direction from Forward to Backward. Click Remove All to deselect predictors and then click Go. Which terms have been selected for this model? Are the results different from Forward selection? Are different predictor variables chosen depending on the method used? Note: Once predictors have been selected in Stepwise, select Make Model or Run Model to create the regression model

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