The sequential sums of squares represent the conditional contribution of each of the predictor variables given the variables already in the model. Use the following partial output generated using Minitab to determine which predictor variable accounts for the largest proportion of the total variation explained by the regression model. Which variable accounts for the largest proportion?
______________
What is the proportion accounted by the selected variable?
______________ Enter a decimal percent or use the % sign.

Question

The sequential sums of squares represent the conditional contribution of each of the predictor variables given the variables already in the model. Use the following partial output generated using Minitab to determine which predictor variable accounts for the largest proportion of the total variation explained by the regression model.  Which variable accounts for the largest proportion?
______________
What is the proportion accounted by the selected variable?
______________ Enter a decimal percent or use the % sign.

Quizplus · Accepted Answer

The Answer of The sequential sums of squares represent the conditional contribution of each of the predictor variables given the variables already in the model. Use the following partial output generated using Minitab to determine which predictor variable accounts for the largest proportion of the total variation explained by the regression model.  Which variable accounts for the largest proportion?
______________
What is the proportion accounted by the selected variable?
______________ Enter a decimal percent or use the % sign.

The Sequential Sums of Squares Represent the Conditional Contribution of Each