A prediction model was developed to predict the maintenance cost based on the age of a rental car. The results of using this prediction model with a testing data set have been represented in the visualisation below. Testing data contains 44 values maintenance cost 650 600 550 500 450 400 350 300 2 3 О 5 6 7 8 9 10 age prediction correct incorrect Use the visualisation above to answer the following questions. A point prediction for the maintenance_cost of a car with age = 4.5 is around [Select] 392 473 432 The percentage of cars that were correctly 'captured' by the prediction intervals generated from this model is [Select] 76.4 97.8 ✓ % 95.5 71.6 The amount of error used for this prediction model is around [Select] 81 110 54 27
A prediction model was developed to predict the maintenance cost based on the age of a rental car. The results of using this prediction model with a testing data set have been represented in the visualisation below. Testing data contains 44 values maintenance cost 650 600 550 500 450 400 350 300 2 3 О 5 6 7 8 9 10 age prediction correct incorrect Use the visualisation above to answer the following questions. A point prediction for the maintenance_cost of a car with age = 4.5 is around [Select] 392 473 432 The percentage of cars that were correctly 'captured' by the prediction intervals generated from this model is [Select] 76.4 97.8 ✓ % 95.5 71.6 The amount of error used for this prediction model is around [Select] 81 110 54 27
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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![A prediction model was developed to predict the maintenance cost based on the
age of a rental car.
The results of using this prediction model with a testing data set have been
represented in the visualisation below.
Testing data contains 44 values
maintenance cost
650
600
550
500
450
400
350
300
2
3
О
5
6
7
8
9
10
age
prediction
correct
incorrect
Use the visualisation above to answer the following questions.
A point prediction for the maintenance_cost of a car with age = 4.5 is around
[Select]
392
473
432
The percentage of cars that were correctly 'captured' by the prediction intervals
generated from this model is [Select]
76.4
97.8
✓
%
95.5
71.6
The amount of error used for this prediction model is around
[Select]
81
110
54
27](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F647d9ea8-515f-42e1-b0fd-52a2f87df7ff%2F310b9642-104d-423c-b8df-441976928399%2Fbkvxeb8_processed.png&w=3840&q=75)
Transcribed Image Text:A prediction model was developed to predict the maintenance cost based on the
age of a rental car.
The results of using this prediction model with a testing data set have been
represented in the visualisation below.
Testing data contains 44 values
maintenance cost
650
600
550
500
450
400
350
300
2
3
О
5
6
7
8
9
10
age
prediction
correct
incorrect
Use the visualisation above to answer the following questions.
A point prediction for the maintenance_cost of a car with age = 4.5 is around
[Select]
392
473
432
The percentage of cars that were correctly 'captured' by the prediction intervals
generated from this model is [Select]
76.4
97.8
✓
%
95.5
71.6
The amount of error used for this prediction model is around
[Select]
81
110
54
27
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