Using the accompanying Credit Approval Decisions data, find 95% prediction intervals for the credit scores and revolving balance of homeowr wners. How do they compare? E Click the icon view the Credit Approval Decisions data. The 95% prediction interval for the credit scores of homeowners is [ (Use ascending order. Type integers or decimals rounded to three decimal places as needed.) The 95% prediction interval for the credit scores of non-homeowners is OD. (Use ascending order. Type integers or decimals rounded to three decimal places as needed.) The 95% prediction interval for the revolving balance of homeowners is [ ). (Use ascending order. Type integers or decimals rounded to three decimal places as needed.) The 95% prediction interval for the revolving balance of non-homeowners is [ )- (Use ascending order. Type integers or decimals rounded to three decimal places as needed.) Compare the intervals. For credits scores, the homeowner's center is V the center for non-homeowners. The width of the interval for homeowners is V the width of the interval for non-homeowners. For the revolving balance, the homeowner's center is V the center for non-homeowners. The width of the interval for homeowners is V the width of the interval for non-homeowners.
Using the accompanying Credit Approval Decisions data, find 95% prediction intervals for the credit scores and revolving balance of homeowr wners. How do they compare? E Click the icon view the Credit Approval Decisions data. The 95% prediction interval for the credit scores of homeowners is [ (Use ascending order. Type integers or decimals rounded to three decimal places as needed.) The 95% prediction interval for the credit scores of non-homeowners is OD. (Use ascending order. Type integers or decimals rounded to three decimal places as needed.) The 95% prediction interval for the revolving balance of homeowners is [ ). (Use ascending order. Type integers or decimals rounded to three decimal places as needed.) The 95% prediction interval for the revolving balance of non-homeowners is [ )- (Use ascending order. Type integers or decimals rounded to three decimal places as needed.) Compare the intervals. For credits scores, the homeowner's center is V the center for non-homeowners. The width of the interval for homeowners is V the width of the interval for non-homeowners. For the revolving balance, the homeowner's center is V the center for non-homeowners. The width of the interval for homeowners is V the width of the interval for non-homeowners.
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
![Next Question
Using the accompanying Credit Approval Decisions data, find 95% prediction intervals for the credit scores and revolving balance of homeown
wners. How do they compare?
Click the icon to view the Credit Approval Decisions data.
.....
The 95% prediction interval for the credit scores of homeowners is [ , ].
(Use ascending order. Type integers or decimals rounded to three decimal places as needed.)
The 95% prediction interval for the credit scores of non-homeowners is
(Use ascending order. Type integers or decimals rounded to three decimal places as needed.)
The 95% prediction interval for the revolving balance of homeowners is [
(Use ascending order. Type integers or decimals rounded to three decimal places as needed.)
The 95% prediction interval for the revolving balance of non-homeowners is [ ).
(Use ascending order. Type integers or decimals rounded to three decimal places as needed.)
Compare the intervals.
For credits scores, the homeowner's center is
the center for non-homeowners. The width of the interval for homeowners is
the width of the interval for non-homeowners.
For the revolving balance, the homeowner's center is
the center for non-homeowners. The width of the interval for homeowners is
the width of the interval for non-homeowners.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F00e39c23-5382-4320-a2d9-cf042c74097f%2F9c2be946-cfc1-4f9a-8450-65f3406637c5%2Fj9dbws_processed.png&w=3840&q=75)
Transcribed Image Text:Next Question
Using the accompanying Credit Approval Decisions data, find 95% prediction intervals for the credit scores and revolving balance of homeown
wners. How do they compare?
Click the icon to view the Credit Approval Decisions data.
.....
The 95% prediction interval for the credit scores of homeowners is [ , ].
(Use ascending order. Type integers or decimals rounded to three decimal places as needed.)
The 95% prediction interval for the credit scores of non-homeowners is
(Use ascending order. Type integers or decimals rounded to three decimal places as needed.)
The 95% prediction interval for the revolving balance of homeowners is [
(Use ascending order. Type integers or decimals rounded to three decimal places as needed.)
The 95% prediction interval for the revolving balance of non-homeowners is [ ).
(Use ascending order. Type integers or decimals rounded to three decimal places as needed.)
Compare the intervals.
For credits scores, the homeowner's center is
the center for non-homeowners. The width of the interval for homeowners is
the width of the interval for non-homeowners.
For the revolving balance, the homeowner's center is
the center for non-homeowners. The width of the interval for homeowners is
the width of the interval for non-homeowners.
Transcribed Image Text:Homeowner
Revolving Balance ($)
Credit Score
Y
7500
649
N
2000
509
N
8500
582
Y
7600
677
Y
11700
702
Y
16000
642
Y
29100
636
11200
760
Y
12500
500
Y
16200
620
Y
6100
774
N
12050
600
Y
13400
801
17300
640
9000
795
Y
10000
703
N
2500
555
Y
16500
591
Y
9200
660
N
31000
585
N
35200
733
N
1000
485
Y
10500
802
N
11200
763
Y
20000
677
Y
6100
774
Y
13400
811
N
2000
507
Y
9700
695
N
27000
523
N
2200
567
N
12800
625
N
22800
620
Y
12800
699
Y
7200
573
Y
11700
701
Y
10500
802
N
3300
688
N
5700
527
N
8400
617
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 4 steps
Recommended textbooks for you
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman