Question 30 (1 point) In a study, fast-food menu items were analyzed for their fat content (measured in grams) and calorie content. The goal is to predict the number of calories in a menu item from knowing its fat content. The least-squares regression line was computed and added to a scatterplot of the data: Regression of Calories on Fat for Fast Food Mull Items E 3 u a 800 0 The equation of the least-squares regression line is: The equation of the least-squares regression line is: Calories = 204 + 11 .4*(Fat) The correlation between Calories and Fat is r = .979. Hence, r2 = .958. Finally, the average number of calories in menu items is 663, and the average fat content in menu items is 40 grams. The least-squares line would predict that a menu item with 40 grams of fat would have 0 660 calories. 0 100 calories. 0 456 calories. 0 204 calories