Question 2 The model on question is estimating the impact of marketing on revenue on an organisation. Answer the questions that follows Dependent Variable: REVENUES Method: Least Squares Sample: 1 13 Included observations: 13 Variable Coefficient Std. Error t-Statistic Prob. MARKETING 6.169683 0.397549 15.51932 0.0000 -245.9496 105.3924 -2.333656 0.0396 R-squared 0.956323 Mean dependent var 1063.561 Adjusted R-squared 0.952352 S.D. dependent var 1043.065 S.E. of regression 227.6836 Akaike info criterion 13.83443 Sum squared resid 570238.1 Schwarz criterion 13.92134 Log likelihood -87.92379 F-statistic 240.8493 Durbin-Watson stat 0.526471 Prob(F-statistic) 0.000000 What is the main problem detected by the model b. Which assumption of the CLRM has been violated c. In detail explain the causes of this problem d. Discuss the consequences of such a problem to the model Question 2 The model on question is estimating the impact of marketing on revenue on an organisation. Answer the questions that follows Dependent Variable: REVENUES Method: Least Squares Sample: 1 13 Included observations: 13 Variable Coefficient Std. Error t-Statistic Prob. MARKETING 6.169683 0.397549 15.51932 0.0000 -245.9496 105.3924 -2.333656 0.0396 R-squared 0.956323 Mean dependent var 1063.561 Adjusted R-squared 0.952352 S.D. dependent var 1043.065 S.E. of regression 227.6836 Akaike info criterion 13.83443 Sum squared resid 570238.1 Schwarz criterion 13.92134 Log likelihood -87.92379 F-statistic 240.8493 Durbin-Watson stat 0.526471 Prob(F-statistic) 0.000000 What is the main problem detected by the model b. Which assumption of the CLRM has been violated c. In detail explain the causes of this problem d. Discuss the consequences of such a problem to the model