Residuals : Min 10 Median 30 Max -84. 12 -27.18 10.61 36.90 48.26 Coefficients: Estimate Std. Error t value Pr ()It|) (Intercept) 356. 12083 197. 17401 1. 806 0.113859 x1 -0. 09874 0. 04588 -2. 152 0.068372 x2 122. 86721 21. 79975 5. 636 0.000786 * * * Signif. codes: ( * * *1 0.001 ' * */ 0.01 "#' 0.05 . . ' 0.1 . . 1 Residual standard error: 51. 14 on 7 degrees of freedom Multiple R-squared: 0.8318, Adjusted R-squared: 0.7838 F-statistic: 17.31 on 2 and 7 DF, p-value: 0. 00195 a. Determine the estimated regression equation that can be used to predict the price of a backpack given the capacity and the comfort rating. b. Interpret the model. c. Predict the price for a backpack with a capacity of 4500 cubic inches and a comfort rating of 4. d. Comment on goodness of fit of the model