Q Question 1 10 / 10 pts The variable to be predicted is the dependent variable. Question 2 10 / 10 pts The coefficient of determination gives the proportion of the variability in the dependent variable that is explained by the regression equation. Question 3 10 / 10 pts If the assumptions of regression have been met, errors plotted against the independent variable will typically show patterns. Question 4 5 / 5 pts Often, a plot of the residuals will highlight any glaring violations of the assumptions. Question 5 5 / 5 pts The value of r2 can never decrease when more variables are added to the model.
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