regression

10 Points The following table presents a regression analysis which investigates the factors that affect the amount of a user's online buying () with the variables X1 (online product price). X2 (number of positive Product Reviews) and X3 (number of online product ads) in a total of 30 observations. a) Describe the multiple regression model considering the 5% statistical significance level. b) comment on the statistical significance level of the variables and the predictive power of the model.Please write your condusions. SUMMARY OUTPUT Regression Statistics Multiple R 0,795580092 R Square 0,753561517 Adjusted R Square 0,698549385 Standard Error 0,004969762 Observations 30 ANOVA of MS F Significance F Regression 3 0,002911586 0,001317053 28,7669325 0,00000007 Residual 26 0,001922058 1,93099E-05 Total 79 0,004533644 Coefficients Standard Error Lower 95% Upper 95%% Lower 95.0%% Upper 95.0% Intercept Q,017971111 0,026965214 -0,466162793 053092430 -0,083954195 0,068012 -0,0939542 0,06801197 X Variable 1 0,18084959 0,077395155 2,299332014 001885895 0,002206278 0,4804929 0,00120628 0.4804929 (Variable 2 0,883204524 0,079595985 7,358261 144 0,00002000 0,627322756 11367677 0,72732276 1,13676771 DX Variable 3 0,003134324 0,018729155 0,121263339 0,56756655 -0,032408961 0,02867 76 -0,03240896 0,02867761