Question 1: [n a multiple linear regression model, which of the following are considered as random? The continuous response or dependent variable Y a. h. The expected value on c. The unknown parameter [3 d. The unknown error variance 02 Question 2: When developing a linear regression model, adding additional predictors to the model will Always increase R2 a. h. Always increase adjusted R2 c. Sometimes decrease R2 d. Always decrease adjusted R2 Question 3: What is the best way to identify multicollinearity? Including interaction terms in the linear regression model Variance inflation factors [VIFs] Residual diagnostic plots Adjusted R2 snore Question 5: In simple linear regression, a confidence interval for the mean response is narrower for values ofx that. are: a. |Closer to the mean of the the K's b. Further from the mean ofthe X's Question 6: When building a linear regression model of the form Y = [30 + [313:1 + [32}{2 + E for a data set, the presence of multicollinearity in the data may result in standard errors for the coefficient. estimates than if the data came from an orthogonal design [i.e.. when X1 and X2 are uncorrelated]. a. Smaller b. Larger