D Question 1 1.5 pts Without penalization of the training risk, a variable selection method prefers models with fewer predictors. True False Question 2 1.5 pts In generalized linear models, the hypothesis test for goodness-of-fit using Pearson residuals and the hypothesis test using deviance residuals will always reach the same conclusion. True O FalseD Question 3 1.5 pts Goodness of-fit assessment for Poisson regression with replications involves checking for the independence, constant variance, and normality of the deviance residuals. O True False Question 4 1.5 pts You are interested in understanding the relationship between education level and IQ, with IQ as the response variable, In your model, you also include age. Age would be considered a controlling variable while the education level would be an explanatory variable. True O FalseD Question 5 1.5 pts Regularized reg ession with a lambda value equal to 1 is equivalent to ordinary least squares regression model estimation without penalization. True False D Question 6 1.5 pts You have more predictors than data points in your data set. Forward stepwise regression is preferred to backward stepwise regression to perform variable selection. True False