Question 3 The model in question 3 is investigating the determinants of household consumption in South Africa. Use the Eview Output below to answer the questions that follows Dependent Variable: CONSUMPTION Method: Least Squares Date: 11/18/16 Time: 00:31 Sample: 2005 2014 Included observations: 10 Variable Coefficient Std. Error t-Statistic Prob. INCOME WEALTH 24.77473 0.94 1537 -0.04 2435 6.752500 0.822898 0.080664 3.868972 1.144172 -0.52 6062 0.0080 0.2902 0.6151 R-squared Adjusted R-squared S.E. of regression Sum squared resid Log likelihood F-statistic Prob(F-statistic) 0.96 35 04 0.95 30 77 6.808041 324.44 59 -31.58705 92.40196 0.000009 Mean dependent var S.D. de pendent var Akaike info criterion Schwarz criterion Hannan-Quinn criter. Durbin-Watson stat 111.0000 31.42893 8.9 17411 7.008186 6.817830 2.890614 a. Detect the main problem on the model b. Explain the two causes of the problem identified in a c. In detail explain the consequences that are Likely to be experienced if the OLS regression model suffers from such a problem Question 3 The model in question 3 is investigating the determinants of household consumption in South Africa. Use the Eview Output below to answer the questions that follows Dependent Variable: CONSUMPTION Method: Least Squares Date: 11/18/16 Time: 00:31 Sample: 2005 2014 Included observations: 10 Variable Coefficient Std. Error t-Statistic Prob. INCOME WEALTH 24.77473 0.94 1537 -0.04 2435 6.752500 0.822898 0.080664 3.868972 1.144172 -0.52 6062 0.0080 0.2902 0.6151 R-squared Adjusted R-squared S.E. of regression Sum squared resid Log likelihood F-statistic Prob(F-statistic) 0.96 35 04 0.95 30 77 6.808041 324.44 59 -31.58705 92.40196 0.000009 Mean dependent var S.D. de pendent var Akaike info criterion Schwarz criterion Hannan-Quinn criter. Durbin-Watson stat 111.0000 31.42893 8.9 17411 7.008186 6.817830 2.890614 a. Detect the main problem on the model b. Explain the two causes of the problem identified in a c. In detail explain the consequences that are Likely to be experienced if the OLS regression model suffers from such a