Q1. Determine whether the following statements are TRUE or FALSE. 5 (a) If the correlation between X1 and X2 is 0.06, but both X1 and X2 are highly correlated with the dependent variable Y. Then there would be a high level of multicollinearity. (b) In simple linear regression, the coefficient of correlation and the population slope must have the same sign. (c) In a multiple regression model, a poor fit indicates a lower standard error of estimates. (d) Adjusted coefficient of multiple determination R2 = 1 - (1 - R2) ( n-1) is adjusted (n-k-1) both for n and k. (e) One of the key assumptions in regression model that the errors are associated with the dependent variable but independent with the independent variables