A Research is made on the consumer buying decision based on the outlet environment, their customer dealing, discount offered and the price showed the following results on using a statistical analysis. R = 0.732 Adjusted R- Square = 0.536 S.E = 0.123 Predictors B S.E. t- Statistic Beta Sig. Constant 1.453 0.004 2936 0.000 Environment -166 .059 2822 0.245 0.005 Dealing .347 .082 4.224 0.167 0.098 Discount 0.328 .053 6.201 0.342 0.000 Price -0.766 .050 9.361 -0.253 0.001 a. What does the explanation and interpretation of constant? (01 Marks) b. Explain the sig. value of EWOM. Whether will you accept or reject the hypothesis of impact of EWOM on the consumer choice based on that value? (01 Marks) c. What does the value of R show? (01 Marks) d. What is the meaning of the value of Adjusted R-square? (01 Marks) e. How will you elaborate the value of S.E.? (01 Marks) f. What will be the effect/ regression model? (02 Marks) g. How much per unit change in consumer buying decision is expected with respect to change in price of the product? (01 Marks) h. What is the difference between the "B" and "Beta"? (02 Marks) i. What is the role of the sig value of ANOVA in the regression analysis? (01 Marks) What does 0.082 explain in S.E. of dealing? Solve this on SPSS