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
Related questions
Question
Choose the correct options and tell me why
![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](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F647d9ea8-515f-42e1-b0fd-52a2f87df7ff%2Fc4c5c46f-6cdf-4bd6-83b1-4cd36595ef9c%2F67l1t9_processed.png&w=3840&q=75)
Transcribed Image Text: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
Transcribed Image Text: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
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