The following estimated regression equation relating sales to inventory investment and advertising expenditures was given. y = 24 + 15X1 + 8X2 The data used to develop the model came from a survey of 10 stores; for those data, SSyy (Total Sum of Squares) = 17,000 and SSR (Regression Sum of Squares) = 13,260. (a) For the estimated regression equation given, compute R2. (Round your answer to two decimal places.) R2 = (b) Compute the adjusted r-square, Ra2. (Round your answer to two decimal places.) R 2 : (c) Does the model appear to explain a large amount of variability in the data? Explain. (For purposes of this exercise, consider an amount large if it is at least 55%. Round your answer to the nearest integer.) The adjusted coefficient of determination shows that % of the variability has been explained by the two independent variables; thus, we conclude that the model -Select- explain a large amount of variability