2. Cascade Pharmaceuticals Company developed the following regression model, using time- series data from the past 33 quarters, for one of its nonprescription cold remedies: Dep. Var N R R? Adjusted R? Standard error of estimate SALES (Y) 33 0.64(a) 0.615 0.604 27.87 Un-standardised Coefficients Standardised Coefficients Model 1 B Std. Error Beta T p-value Constant -1.041 1.513 0.635 0.688 0.879 0.239 0.032 0.480 7.469 0.001* X2 -0.26 0.070 -0.202 -3.714 0.002* a Predictors: (Constant), Xi, X2 b Dependent Variable: Y (SALES) *Significant at the p <.05 level model sum of squares cdf mean square f p-value regression residual total a predictors: xi b dependent variable: y at the p .05 where sales thousands cases cold remedy x:="Cascade's" quarterly advertising for xx="competitors'" similar product a. which independent variables any appears to be statistically significant in explaining b. what proportion variation is explained by equations c. perform f-test overall explanatory power model. explain. d. additional statistical information would you find useful evaluation this>