Coefficients Model Unstandardized Coefficients Standardized Sig Coefficients B Std. Error Beta (Constant) -93.333 49.945 -1.869 079 Advert (thou $) 2.468 627 455 3.935 001 $Price/unit -.317 .562 -.067 -.563 .581 Distributors 170 045 607 3.786 .001 a. Dependent Variable: Sales (mill. unit) 1. Is the overall regression equation significant? 2. Which independent variables are statistically significant? What does this result mean in words? Which of the independent variables has the greatest influence on the dependent variable? 3. What is the model's R-square? What does this value mean? 4. If JTM plans to spend $46,000 on advertising, price its products on average at $98 per unit, and maintain relationships with 475 distributors in the coming year, determine unit sales for the firm.In-class exercise: regression Name JT M, a multi-billion dollar multinational salted snack foods manufacturer, uses a vast network of distributors to market its products to grocery and mass merchandizers. James Moss, Jr., the Vice President of Marketing, is reviewing his strategic plan for next year. He needs to provide sales forecasts for the annual budget. The data has been compiled om rm records; variables include sales, advertising expenditure, price per unit, and number of distributors. Please provide answers to the following questions based on the SPSS output of a regression analysis. -- AdjuSted R Std. Error 0fthe S . uare Estimate a. Predictors: (Constant), Distributors, Advert (thou $), $Price/unit M\" Regression 7276.351 3 2425.450 59.804 .0005 Residual 689.459 1 7 40.556 Total 7965.810 20 a. Dependent Variable: Sales (mill. unit) b. Predictors: (Constant), Distributors, Advert (thou S), $Price/unit