Question 3: Finally, your manager is interested in the relationship between customers' ratings of specic food characteristics and their likeliness to return. Understanding and predicting consumers' likeliness to return can be valuable information for managers. Consequently, your assignment uses some of the information in the survey to explain their likeliness to return. That is, what characteristics together regarding food can predict consumers' likeliness to return? To do this, you want to run a multiple regression analysis with LIKELY TO RETURN as the dependent variable and the following variables as independent variables: ATMOSPHERE, SATISFACTION, REASONABLE PRICES, EXCELLENT FOOD TASTE, and SPEED OF SERVICE. The idea is that each of the independent variables explains some portion of the variation in likeliness to return scores, thereby revealing the relationships among this set of variables altogether. Use multiple regression to determine if these independent variables are related to the dependent variable. 1. How much of the variation in LIKELINESS TO RETURN do the independent variables together explain? Is this result statistically signicant? Are the individual variables signicantly related to the dependent variable? 2. Interpret the output. Tell your manager which variables are related to the LIKELINESS TO RETURN and how they are related. Explain what your ndings mean for your manager interested in understanding the LIKELINESS TO RETURN and suggest ways to use the information. 3. Using a model, graphically display your ndings. Include this on your template