A regional express delivery service company recently conducted a study to investigate the relationship between the cost of shipping a package (Y), the package weight (X1), and the distance shipped (X2). Several packages were randomly selected from among the large number received for shipment, and a detailed analysis of the shipping cost was conducted for each package. These sample observations are given in the file P10 22 V2.xlsx + a. Estimate a multiple regression equation using the given data. Cost of shipment - [Select ] [ Select] Weight + ISelect ] * Distance Interpret each of the estimated regression coefficients: · As the weight of the package increases by 1 pound, the [ Select] typically [ Select] by I Select) [ Select] while holding the ( Select] constant. · As the distance shipped increases by 1 mile, the [ Select] typically (Select ] by ISelect ] [ Select ] while holding the (Select ] constant. b. Interpret R2: The R-square value indicates that about [ Select] of the variation in the [ Select] is explained by the multiple regression model. c. The regression model I Select] the sample data well because the p-value of the regression is very [Select]