You are estimating the SALES of Tom's Burger, your client, based on 45 monthly data, the output is as follows:

Sales = 118.91 - 7.908 Price + 1.863 Advert

(se) (6.35) (1.096) (0.683)

R-sq = 0.448; SSR (Residuals) = 1718.943; n=45

Note: Sum of Squares of Residuals is noted as SSR or RSS.

1. What is your interpretation of the coefficient of PRICE?
2. What is your interpretation of the coefficient of ADVERT?
3. What is your interpretation of the coefficient of the Intercept?
4. If price is $5.50 and Advertising expenses are $1,200, what is the predicted value of Sales revenue?
5. Conduct t-test for all variables using 95% confidence intervals, state your conclusion.
6. Conduct F-test (using R² to find SST; and find the F-value), state your conclusion
7. Calculate Adjusted R-square.
8. In which case, R-square and Adjusted R-square are exactly the same?