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
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter7: Distance And Approximation
Section7.3: Least Squares Approximation
Problem 31EQ
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