Question 10: You have conducted research into customer preference for one of your core products. Presented below are the results of your analysis. Provide a comprehensive interpretation of this output, including a discussion of all key elements, e.g., the R Square, the F statistic and its significance, and the model coefficients. In your answer you must clearly explain the implications of the findings for management. Model Summary Adjusted R Std. Error of Model R R Square Square the Estimate 802(a) 644 635 4.03708 a Predictors: (Constant), Decor of Cafe X, Quality of Food in Cafe X, Type of music played over in-house stereo in Cafe X, Quality of coffee served in Cafe X, Uniform worn by cafe X staff ANOVA(b) Sum of Model Squares df Mean Square Sig. Regression 5717.727 5 1 143.545 70.165 .000(a) Residual 3161.812 194 16.298 Total 8879.539 199 a Predictors: (Constant), Decor of Cafe X, Quality of Food in Cafe X, Type of music played over in-house stereo in Cafe X, Quality of coffee served in Cafe X, Uniform worn by cafe X staff b Dependent Variable: Intention to Revisit Cafe X Coefficients(a) Unstandardized Standardized Coefficients Coefficients Collinearity Statistics Mode B Std. Error Beta Sig. Tolerance VIF (Constant) 13.513 1.819 7.428 000 Decor of Cafe X 218 . 136 070 1.601 .111 953 1.050 Quality of Food in Cafe X -.377 069 251 5.480 878 1.139 Type of music played over 1.018 in-house stereo in Cafe X .116 . 161 .031 .723 471 982 Quality of coffee served in Cafe X 1.035 072 666 14.388 000 .857 1.167 Uniform worn by cafe X -. 126 291 -.019 -.433 665 .990 1.010 staff a Dependent Variable: Intention to Revisit Cafe X