As the total amount of fat in a food item increases, the calories tends to [Select] decrease increase stay the same Using the linear model fitted to the data, a fast food item with total_fat = 13.4 is predicted to have a calories value of [Select] 569.2 1665.6 455.4 341.5 ✓ . As the actual value of calories for this fast food item is 427.9, that means that the prediction -86.3 error is [Select] 27.5 -27.5 -86.3 An error amount of around [Select] 360 180 prediction model. 540 would be appropriate for a calories The plot below was created when developing a prediction model using the variables calories and total_fat. 800 600 400 200 T O O O O 5 10 15 20 25 total_fat The equation of the fitted line is: predicted calories = 97.6 + 26.7* total_fat Use the plot and the equation of the fitted line above to answer the following questions. ―linear

As the total amount of fat in a food item increases, the calories tends to [Select] decrease increase stay the same Using the linear model fitted to the data, a fast food item with total_fat = 13.4 is predicted to have a calories value of [Select] 569.2 1665.6 455.4 341.5 ✓ . As the actual value of calories for this fast food item is 427.9, that means that the prediction -86.3 error is [Select] 27.5 -27.5 -86.3 An error amount of around [Select] 360 180 prediction model. 540 would be appropriate for a calories The plot below was created when developing a prediction model using the variables calories and total_fat. 800 600 400 200 T O O O O 5 10 15 20 25 total_fat The equation of the fitted line is: predicted calories = 97.6 + 26.7* total_fat Use the plot and the equation of the fitted line above to answer the following questions. ―linear

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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