1)Please state the Least Squares Assumptions for the Multiple Linear Regression Model (4 marks)

2) Please explain the difference between perfect and imperfect multicollinearity and explain if either of them violate the OLS assumptions. Please give an example for each case.(3 marks)

3) What is the dummy variable trap and how do you avoid it? (3 marks)

don't provide plagiarism answer otherwise downvote and report please explain