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Asked by LieutenantOkapi1421
. The equation of the least-squares regression line is: Calories...
Image transcription text 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: Image transcription text 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.
Solved by verified expert
Answered by StarFleetCommand
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