A researcher runs the following regression with the Eviews output presented below. nettfa = bo + bjinc + bage + bymarr + bymale + e (3) where metta = the net financial wealth (measured in $'000) inc = income age = the age of the respondent mary = a dummy variable equals 1 if the respondent is married and 0 otherwise. male = a dummy variable equals 1 if the respondent is male and 0 otherwise. Dependent Variable: NETTFA Method: Least Squares Date: 08/23/22 Time: 19:08 Sample: 1 9275 Included observations: 9275 Variable Coefficient Std. Error t-Statistic Prob. INC 1.024097 0.027091 37.80238 0.0000 AGE 1.041951 0.059355 17.55454 0.0000 MARR -9.755825 1.439688 8.778345 0.0000 MALE 0.345276 1.622042 0.212865 0.8314 C 57.87080 2 755748 -21.00003 0.0000 R-squared 0.173888 Mean dependent var 18.07168 Adjusted R-squared 0.173531 S.D. dependent ver 63.96384 S.E of regression 58.14974 Akaike info criterion 10.98446 Sum squared resid 31345502 Schwarz criterion 10.96831 Log likelihood -50842.68 Hannan-Quinn criter. 10.08577 F-statistic 487.8086 Durbin-Watson stat 1.927194 Prob(F-statistic) 0.000 000 Q7. Interpret the coefficient of age. [2] Q8.State the independent variable whose estimate is not statistically significant at the 5% significance level. [2] Q9. On average is there any gendre bias in the net financial wealth in the sample? [2]