Question: 3) A nutritionist was interested in developing a model that describes a relationship between the amount of fat in grams in a cheeseburger at fast-food

3) A nutritionist was interested in developing a model that describes a relationship between the amount of fat in grams in a cheeseburger at fast-food restaurants and the number of calories. She obtain the following data from a website of the companies. Sandwich (Restaurant) Fat Content (g) Calories Walb single with cheese (Wendy's) 20 430 Whataburger (Whataburger) 39 750 Cheeseburger (In-n-out) 27 480 Big Mac (Mcdonald's) 29 540 Walb with cheese (Mcdonalds) 26 510 Whopper with cheese (Burger King) 47 760 Jumbo Jack (Jack in the Box) 35 690 Double Steakburger with cheese (Steak 'n Shake) 38 632 a. The researcher wants to use fat content to predict calories. Which is the explanatory variable? b. Find the least square regression line, given the linear correlation coefficient of 0.944. c. Suppose a 29 gram fat content, Big Mac from Mcdonald's is randomly selected in the field. Use the least-square regression line to predict the number of calories in the Big Mac burger. Round to the nearest calorie here. d. What is a residual of the 30 gram Big Mac fat content burger from Mcdonald's? Is this above or below average the number of calories for a Big Mac Burger

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