Tasty Bakery is an online company that sells macaron. The owner has developed a model to predict the sales for the month. She used number of online positive reviews and forecast temperature as the predictors. The following tables show the results of her model:

Model Summary Model R R Square Adjusted R Std. Error of the Estimate Square .779a 0.607 0.601 13.22887 a. Predictors: (Constant), online positive reviews and forecast temperature Coefficientsa Unstandardized Standardized Coefficients Coefficients B Std Beta Model Error t Sig. 1 (Constant) 96.885 7.294 13.283 .000 Online positive reviews 1.338 293 .186 4.564 000 Forecast temperature 1.222 098 872 12.498 .000 a. Dependent Variable: Sales a) What does the Model Summary table tell you? (i.e. explain R, R Square and adjusted R Square) (3 marks) b) With reference to the model above, estimate the sales of Tasty bakery for the coming month under Scenario A and B (show your calculations). (2marks) Scenario A Scenario B Online positive reviews 320 470 Forecast temperature (C) 32 18