Part 2: (40 points ) Use the Credit data to perform the following tests using Linear Regression settings : A. Perform the following steps : (20 points ) i. Attach the Credit data to the R environment . (5 points ) ii. Observe the number of rows in the Credit data . Observe the dimension of the Credit data . ( 5 points ) iii . Provide a summary stat for the variables in Credit data . (5 points ) iv. What is the percentage of Student and Female in the Credit data ? (5 points ) B. Construct a linear regression model as follows : (20 points ) Response variable : Credit Card Balance Predictors: Credit Rating , Student , Credit Rating * Student (interaction terms ) Provide a summary of the model using summary () function . The online quiz (Q5 to Q8 ) will be related to the following concepts . You do not have to respond to the following questions in the R program : i. What is the effect of Student on Credit Card Balance? Explain the coefficient in terms of how Student status effect changes in Credit Card Balance. Explain the significance level of the coefficient of Student