A multiple regression analysis between yearly income ( yin $10005), college grade point average [ X1]. age ( x2], and gender ( x 3; zero representing female and one representing male) was performed on a sample of 10 people, and the following results were obtained. Coefficients Standard Error Intercept 4.0928 1.4400 x1 10.023 0 1. 6512 x2 0. 1020 0.12 25 x3 -4.4811 1.4400 ANOVA df 55 M5 F Regression 360.59 Residual {Error} 23.91 a. Write the regression equation for the above analysis. b. Interpret the meaning of the coefficient of x3. c. Compute the multiple coefficient of determination. d. Is the coefficient of x1 significant? Use a = .10. e. Is the coefficient of x2 significant? Use a = .10. f. Is the coefficient of x3 significant? Use a = .10. g. Perform an Ftest and determine whether or not the model is significant