D Question 19 On large data sets, BIC generally penalizes complexity more than AIC and Mallow's Cp. True False D Question 20 1.5 pts The logit link is the only link function that yields s-shaped curves used to model binary response data. O True FalseD Question 21 2 pts Mary has a dataset with height (in inches), weight (in Ibs), and math_score (final exam score out of 100) of 300 students in an undergraduate math course. She creates another field called BMI (Body Mass Index) calculated as BMI-703"(weight/height?). She wants to examine if math_score is related to height, weight and BMI. She plans to use a linear regression model math_score - height +weight+BMI to study this relationship. Leonard hears about Mary's plan and tells Mary that BMI should not be used in her experiment because it is created from the height and weight variables which are already included in the model. He says this leads to an issue called multicollinearity in linear regression. Which of the below options is TRUE? Leonard is right; retaining height, weight, BMI in the model will certainly lead to multicollinearity. Leonard is wrong because BMI is not a linear combination of weight and height. Leonard is wrong: it is impossible to say whether multicollinearity is a problem in a proposed model without first fitting the model. Leonard is right, but the correct name for this issue is homoscedasticity.D Question 22 High VIF (> 10) value for predictors in linear regression suggests Homoscedasticity Multicolinearity. " Autocorrelation. non-Linear relation between dependent and independent variables. D Question 23 2 pts Which of the following is not correct? Lasso regression uses the L1 norm. Ridge regression uses the L2 norm. O Ridge regression does not perform variable selection. Elastic net does not perform variable selection