The objective is to improve participation rates for the excel certification test (i.e. variable Participate_Cert_Exam). To break this analysis into digestible parts the following variables are provided (for both tests): Number of attempts (A1a_Num_of_Attempts, A1b_Num_of_Attempts); Score of the attempts(A1a_Score_1st_Attempt, A1a_Score_Best_Attempt, A1b_Score_1st_Attempt, A1b_Score_Best_Attempt); and Completion of attempts hours before deadline (A1a_1st_Attempt_Before_Deadline, A1a_last_Attempt_Before_Deadline, A1b_1st_Attempt_Before_Deadline, A1b_last_Attempt_Before_Deadline)

To understand whether these factors play a important role, broadly speaking, you will need to

(i) formulate a multiple linear regression model Already Done below

(ii) explain whether the relationship is statistically and/or economically significant.

Interpret the coefficients. Whether statistically significant and economically significant. You'll also need to define what is economically significant and use a benchmark to determine this.