A prediction model was developed to predict the calories based on the total amount of fat in a food item. The prediction model is as follows: predicted calories = 134 + 22.7 * total_fat ± 44 Using the prediction model given above, a fast food item with total_fat = 9.5 is predicted to have a calories of between 393.7 1532.7 [Select] 305.7 -37.7 [Select] 305.7 393.7 -125.7 1444.7 and If the actual calories of this fast food item was 346.6, that would mean that the prediction interval generated from this model was [Select] correct incorrectl

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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A prediction model was developed to predict the calories based on the total
amount of fat in a food item. The prediction model is as follows:
predicted calories = 134 + 22.7 * total_fat ± 44
Using the prediction model given above, a fast food item with total_fat = 9.5 is
predicted to have a calories of between [Select]
393.7
1532.7
[Select]
305.7
-37.7
305.7
393.7
-125.7
1444.7
and
If the actual calories of this fast food item was 346.6, that would mean that the
prediction interval generated from this model was [Select]
correct
incorrectl
Transcribed Image Text:A prediction model was developed to predict the calories based on the total amount of fat in a food item. The prediction model is as follows: predicted calories = 134 + 22.7 * total_fat ± 44 Using the prediction model given above, a fast food item with total_fat = 9.5 is predicted to have a calories of between [Select] 393.7 1532.7 [Select] 305.7 -37.7 305.7 393.7 -125.7 1444.7 and If the actual calories of this fast food item was 346.6, that would mean that the prediction interval generated from this model was [Select] correct incorrectl
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