Question 2: Logistic RegressionFor questions 9 - 11, use the model below where the data contains the following information on then = 9578 peer-to-peer loans.repay: 1 if customer repaid the loan, 0 else.fico: Credit score on 0 - 850 scale.Call:glm(formularepayfico, family = binomial, data = Lending)%3DDeviance Residuals:Min1QMedian3QМаx-2.48630.41850.55380.65180.9544Coefficients:Estimate Std. Error z value Pr(>Izl)(Intercept) -6.7188776 0.5768348 .-11.65 <2e-16 ***3fico0.0118775 0.00082311Signif. codes: 0' 0.1 ' 1(***)0.001(**>0.01 *>0.05(Dispersion parameter for binomial family taken to be 1)Null deviance: 8424.0Residual deviance: 8196.1 on 9576 degrees of freedomon 9577 degrees of freedomAIC: 8200.1Number of Fisher Scoring iterations: 4Figure 3: Logistic Regression Table9.What is the estimated regression model?

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Answered: Question 2: Logistic Regression For…

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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We have measurements from eight companies for the % workforce change in 2010 from 2009 and the % change in profits from 2010 to 2011. % workforce change (x): 1.0 % profit change (y): 1.5 -0.4 -2.6 -3.8 -5.8 -2.5 -0.1 0.4 0.4 0.1 -0.2 -0.5 -7.5 0.2 0.3 We can calculate: Er = -12.7, Ex² = 64.51, Συ--6.8 , Σ 57, Σεy- 46.35. Find the sample correlation between the two variables, and fit a simple linear model to the dataset. Also, plot the residuals, ri, against xi, and comment on the fit of the model.
A popular television show recently released a video previewing the upcoming season on his website as fans of the show discovered the video the number of views of the preview video has grown each day during the last two weeks the number of days in the release of the video and the natural log of the number of video views as shown in the scatterplot. based on the scatterplot and residual plot, what type of model would be appropriate for summarizing the relationship between days and numbers of views? an exponential model is appropriate because the Residual plot does not show a clear pattern A linear model is appropriate because of scatterplot shows a strong positive linear relationship A power model is appropriate because the scatterplot of days a natural log of use is strong and linear an exponential model is appropriate because the relationship between the days in the natural log of views in linear and the residual plot does not show a clear pattern
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