The output below is from a medical study that used multiple linear regression analysis to link monthly changes in weight (y = weight change in ounces) to daily exercise (x₁ = minutes of strenuous daily exercise) and daily fat calorie intake (x₂ = number of fat calories consumed daily). The sample consisted of 28 men in the 25-to-35-year age group.

a. Identify and interpret the estimated regression coefficients for x₁ and x₂. 

b. Fill in the values of SSR and SSE. 

c. Show that the standard error of estimate is equal to the square root of SSE/(n – k –1), where n number of observations and k number of independent variables.

Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.562 0.316 0.261 8.795 28 ANOVA df Regression Error (Residual) Total 25 27 2826.714 Coeff 7.463 exercise minutes 0.429 0.630 ntercept fat calories