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Question 2: Logistic Regression For questions 9 - 11, use the model below where the data contains the following information on the n = 9578 peer-to-peer loans. repay: 1 if customer repaid the loan, 0 else. fico: Credit score on 0 - 850 scale. Call: glm(formula = repay fico, family = binomial, data = Lending) Deviance Residuals: Min 10 Median 30 0.6518 Маx -2.4863 0.4185 0.5538 0.9544 Coefficients: Estimate Std. Error z value Pr(>Izl) (Intercept) -6.7188776 0.5768348 .-11.65 <2e-16 *** 3 fico 0.0118775 0.0008231 1 2 Signif. codes: 0 ***** 0.001 0.01 0.05 .' 0.1 *** 1 (Dispersion parameter for binomial family taken to be 1) on 9577 degrees of freedom on 9576 degrees of freedom Null deviance: 8424.0 Residual deviance: 8196.1 AIC: 8200.1 Number of Fisher Scoring iterations: 4 Figure 3: Logistic Regression Table 9. What is the estimated regression model?

Question 2: Logistic Regression For questions 9 - 11, use the model below where the data contains the following information on the n = 9578 peer-to-peer loans. repay: 1 if customer repaid the loan, 0 else. fico: Credit score on 0 - 850 scale. Call: glm(formula = repay fico, family = binomial, data = Lending) Deviance Residuals: Min 10 Median 30 0.6518 Маx -2.4863 0.4185 0.5538 0.9544 Coefficients: Estimate Std. Error z value Pr(>Izl) (Intercept) -6.7188776 0.5768348 .-11.65 <2e-16 *** 3 fico 0.0118775 0.0008231 1 2 Signif. codes: 0 ***** 0.001 0.01 0.05 .' 0.1 *** 1 (Dispersion parameter for binomial family taken to be 1) on 9577 degrees of freedom on 9576 degrees of freedom Null deviance: 8424.0 Residual deviance: 8196.1 AIC: 8200.1 Number of Fisher Scoring iterations: 4 Figure 3: Logistic Regression Table 9. What is the estimated regression model?

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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Question 2: Logistic Regression For questions 9 - 11, use the model below where the data contains the following information on the n = 9578 peer-to-peer loans. repay: 1 if customer repaid the loan, 0 else. fico: Credit score on 0 - 850 scale. Call: glm(formula repay fico, family = binomial, data = Lending) %3D Deviance Residuals: Min 1Q Median 3Q Маx -2.4863 0.4185 0.5538 0.6518 0.9544 Coefficients: Estimate Std. Error z value Pr(>Izl) (Intercept) -6.7188776 0.5768348 .-11.65 <2e-16 *** 3 fico 0.0118775 0.0008231 1 Signif. codes: 0 ' 0.1 ' 1 (***) 0.001 (**> 0.01 *> 0.05 (Dispersion parameter for binomial family taken to be 1) Null deviance: 8424.0 Residual deviance: 8196.1 on 9576 degrees of freedom on 9577 degrees of freedom AIC: 8200.1 Number of Fisher Scoring iterations: 4 Figure 3: Logistic Regression Table 9. What is the estimated regression model?
Transcribed Image Text:Question 2: Logistic Regression For questions 9 - 11, use the model below where the data contains the following information on the n = 9578 peer-to-peer loans. repay: 1 if customer repaid the loan, 0 else. fico: Credit score on 0 - 850 scale. Call: glm(formula repay fico, family = binomial, data = Lending) %3D Deviance Residuals: Min 1Q Median 3Q Маx -2.4863 0.4185 0.5538 0.6518 0.9544 Coefficients: Estimate Std. Error z value Pr(>Izl) (Intercept) -6.7188776 0.5768348 .-11.65 <2e-16 *** 3 fico 0.0118775 0.0008231 1 Signif. codes: 0 ' 0.1 ' 1 (***) 0.001 (**> 0.01 *> 0.05 (Dispersion parameter for binomial family taken to be 1) Null deviance: 8424.0 Residual deviance: 8196.1 on 9576 degrees of freedom on 9577 degrees of freedom AIC: 8200.1 Number of Fisher Scoring iterations: 4 Figure 3: Logistic Regression Table 9. What is the estimated regression model?
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