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Question 1 (parts A and B) PART A Table 1 presents the EViews output showing the results of the estimation of monthly expenditure on chocolate for 1,600 individuals. The variables used are: CONSUMPTION: monthly expenditure on chocolate in EUR INCOME: annual income in thousands of EUR MALE: a dummy variable =1 if the individual is male, =0 if female Table 1 Dependent Variable: CONSUMPTION Method: Least Squares Date: 05/31/18 Time: 18:11 Sample: 1 1600 Included observations: 1600 Variable Coefficient Std. Error t-Statistic Prob. C 15.19889 2. 103561 7.225314 0.0000 INCOME 0.068021 0.000978 69.55207 0.0000 MALE -1.467410 0.802133 -1.829386 0.0675 AGE 0.061134 0.044854 1.362955 0. 1731 R-squared 0.751997 Mean dependent var 84.83573 Adjusted R-squared 0.751531 S.D. dependent var 32.16085 S.E. of regression 16.03111 Akaike info criterion 8.389437 Sum squared resid 410166.5 Schwarz criterion 8.402881 Log likelihood -6707.549 Hannan-Quinn criter. 8.394429 F-statistic 1613.137 Durbin-Watson stat 2.015044 Prob(F-statistic) 0.000000 ) How would you interpret the estimated coefficients in this model? b) In the regression of Table 1, which coefficients are statistically significant at 5%? How would your answer change if you used the 10% level of significance? Explain your answer. C) Test the hypothesis that the coefficient on male is -1. Make sure you describe all steps. e Calculate a 90% confidence interval for income. e ) Are all the explanatory variables jointly significant? Make sure you explain your answer (hint: do not forget to calculate the relevant test statistic)