Model: Profit($) = f (Age in Years) SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square 0.07 Standard Error 617.73 Observations 170 ANOVA df SS MS F Significance F Regression 1 4990374.556 13.078 0.000 Residual 168 64107749.54 Total 169 69098124.09 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 1099.00 209.53 5.25 0.00 685.34 1512.65 Age 16.30 4.51 0.00 7.40 25.20 Which of the following statements is true? Question 18 options: The intercept is 16.30. The SSR is larger than the SSE. This model explains about 7% of the variation in the Profit variable. The global test and individual test of statistical significance do not agree