Could anyone answers question b) plz? 2. Consider a multiple linear regression model with two continuous predictors Y; A) + β1-ril + β2Xi2 + ε¡ , εί i.i.d. N(0, σ2) a) Suppose that r and r are e...
2. Consider a multiple linear regression model with two continuous predictors Y; A) + β1-ril + β2Xi2 + ε¡ , εί i.i.d. N(0, σ2) a) Suppose that r and r are exactly related in that 2.212 for all i. For example, r1 could be weight in kilograms and weight in pounds for the i- th individual Describe the appearance of the added-variable plot for ri after adjusting for b) Suppose instead that and r are not perfectly correlated, but that Y 3r, i.e Y is perfectly correlated with Tn. Describe the appearance of the added-variable plot for rp. c) (Bonus): Simulate some data for each of the situations in parts a) and b) and create an added-variable plot to confirm you answers.
2. Consider a multiple linear regression model with two continuous predictors Y; A) + β1-ril + β2Xi2 + ε¡ , εί i.i.d. N(0, σ2) a) Suppose that r and r are exactly related in that 2.212 for all i. For example, r1 could be weight in kilograms and weight in pounds for the i- th individual Describe the appearance of the added-variable plot for ri after adjusting for b) Suppose instead that and r are not perfectly correlated, but that Y 3r, i.e Y is perfectly correlated with Tn. Describe the appearance of the added-variable plot for rp. c) (Bonus): Simulate some data for each of the situations in parts a) and b) and create an added-variable plot to confirm you answers.