Because population and area are both variables related to size and proportion, natural logarithm transforms were applied to both population and city area. A model was then fit, which appears below. Regression Statistics Multiple R 0.631 Response Variable: lnPop R Square 0.398 Adjusted R Square 0.396 Standard Error 1.693 Observations 451 ANOVA df SS MS F Significance F Regression 1 850.471247 850.471247 296.595887 2.1211E-51 Residual 449 1287.48107 2.86744113 Total 450 2137.95231 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 5.402 0.117 46.283 5.221E-173 5.172 5.631 lnArea 0.836 0.049 17.222 2.1211E-51 0.741 0.932 What is the regression equation based on the sample data? Question 7 options: ln P o p ^ = 5 . 402 + 0 . 836 * ln A r e a P o p ^ = e x p 5 . 402 + 0 . 836 * ln A r e a P o p ^ = 5 . 402 + 0 . 836 * ln A r e a+ e