Brown intends to study whether the revenue of a restaurant can be determined by the following variables:

• Number of people living within 2 km of the restaurant (People)
• Average income of households within 2 km of the restaurant (Income)
• Number of other restaurants within 2 km of the restaurant (Competitors)
• Average price of a meal (Price)

Brown has randomly selected 40 restaurants and recorded the variables of interest. He performed a multiple regression analysis and found some of the figures in the regression outcomes are missing due to technical glitches of his printer. Please help Brown to fill out the missing information.

Regression Statistics Multiple R 0.750 R Square (a) Adjusted R Square 0.512 Standard Error (b) Observations 40.000 ANOVA df SS MS F Regression 4 29226814870 7306703718 (c) Residual 35 22793372287 651239208.2 Total 39 (d) Coefficients Standard Error t Stat P-value Intercept -3578.998 101844.239 -0.035 0.972 People (e) 5.729 -0.311 0.758 Income 7.389 (f) 6.490 0.000 Competitors -6609.807 4389.883 -1.506 0.141 Price 11962.766 11116.266 1.076 0.289