The following model predicts credit card acceptance (yes) as follows: p-value (0.001) Intercept BadReports (0.001) Income (<0.001) Here the response variable, CardAcceptance-1 if the card is accepted and 0 otherwise What is the effect of BadReport on Card Acceptance? Choose one from below: Coefficient 1.05 -1.36 0,026 As number of bad reports increases the probability of card acceptance decreases Bad reports has no effect on probability of card acceptance As number of bad reports decreases the probability of card acceptance decreases As the number of bad reports increases the probability of card acceptance increases
The following model predicts credit card acceptance (yes) as follows: p-value (0.001) Intercept BadReports (0.001) Income (<0.001) Here the response variable, CardAcceptance-1 if the card is accepted and 0 otherwise What is the effect of BadReport on Card Acceptance? Choose one from below: Coefficient 1.05 -1.36 0,026 As number of bad reports increases the probability of card acceptance decreases Bad reports has no effect on probability of card acceptance As number of bad reports decreases the probability of card acceptance decreases As the number of bad reports increases the probability of card acceptance increases
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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![The following model predicts credit card acceptance (yes) as follows:
p-value
(0.001)
(0.001)
(<0.001)
Here the response variable, CardAcceptance-1 if the card is accepted and 0 otherwise
What is the effect of BadReport on Card Acceptance? Choose one from below:
Intercept
BadReports
Coefficient
Income
1.05
-1.36
0.026
As number of bad reports increases the probability of card acceptance decreases
Bad reports has no effect on probability of card acceptance
As number of bad reports decreases the probability of card acceptance decreases
As the number of bad reports increases the probability of card acceptance increases](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb3c956df-0a2d-423a-9ad6-9040740ddec6%2F39071a36-eeb0-4a2f-99f5-9be471bafbeb%2Fkyq5j3_processed.jpeg&w=3840&q=75)
Transcribed Image Text:The following model predicts credit card acceptance (yes) as follows:
p-value
(0.001)
(0.001)
(<0.001)
Here the response variable, CardAcceptance-1 if the card is accepted and 0 otherwise
What is the effect of BadReport on Card Acceptance? Choose one from below:
Intercept
BadReports
Coefficient
Income
1.05
-1.36
0.026
As number of bad reports increases the probability of card acceptance decreases
Bad reports has no effect on probability of card acceptance
As number of bad reports decreases the probability of card acceptance decreases
As the number of bad reports increases the probability of card acceptance increases
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