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5) A company wants to model the sales of product Was a function of two independent variables: Product Price and Size of Sales Force. Based on sample of 16 periods, the following results were obtained: ANOVA Model Sum of Squares df Mean Square F Sig. Regression ? ? 1290,535 295,997 000b Residual ? Total a. Dependent Variable: Sales of W (m.u.) b. Predictors: (Constant), Product Price (m.u.), Size of Sales Force (hundreds of employees) Coefficients Unstandardized Standardized Collinearity Coefficients Coefficients Statistics Model B Std. Error Beta Sig Tolerance VIF (Constant) 96.307 12,656 7,610 000 Size of Sales Force 22,510 5,538 ,537 4,065 ,001 09 10,568 (hundreds of employees) Product Price (m.u.) -17,539 4.994 -,464 -3,512 004 095 10.568 a. Dependent Variable: Sales of W (m.u.) a) [0,5 points] Write the equation of the estimated model. b) [1,5 point] Interpret the standardized and unstandardized coefficients for the independent variable with greatest impact on the dependent variable. c) [1 point] Calculate and interpret the coefficient of determination. d) [1 point] In face of the results, would you suggest any change to the model? Justify