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18. The following estimated regression model was developed relating yearly income (Y in dollar) of 30 individuals with their age (X1) and their gender (X2) (1 if male and 0 if female). SUMMARY OUTPUT Regression Statistics Multiple R 0.99 R Square 0.98 Adjusted R S 0.98 Standard Err 1,721.83 Observations 30.00 ANOVA of SS MS F Significance F Regression 2.00 5,166,093,302.59 2,583,046,651.30 871.27 0.00 Residual 27.00 80,047,116.77 2,964,708.03 Total 29.00 5,246,140,419.37 Coefficients Standard Error t Stat P-value Lower 95% Upper 95%% Lower 95.0% Upper 95.0% Intercept 2,382 3,307.04 0.72 0.48 -4,403.30 9,167.67 -4,403.30 9,167.67 age 1,529 75.33 20.29 0.00 1,374.14 1,683.28 1,374.14 1,683.28 gender 10,263 961.80 10.67 0.00 8,289.19 12,236.08 8,289.19 12,236.08 From the result above, it can be said that the expected yearly income of a. males is $10,263 more than females given the same age b. females is $10,263 more than males given the same age c. males is $10,263 d. females is $10,263