Both Linear Regression and Logistic Regression error values have not to be

Both linear regression and logistic regression error

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Both Linear Regression and Logistic Regression error values have not to be normally distributed The log of the event = 1 The log of the odds ratio of an event You Selected The log of the probability of success All of the above True
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5/26/2020 Quiz -2: Predictive Modeling and Analytics - Great Learning 5/6 Question No: 9 Correct Answer Which of the following methods do we use to best fit the data in Logistic Regression? Question No: 10 Correct Answer Which of the following is not an assumption of Logistic Regression? Least Square Error Maximum Likelihood You Selected Jaccard distance Both A and B There should exist No Multicollinearity between Independent variables There should exist Normality of data distribution The dependent variable should be a continuous variable You Selected There can be more than 2 categories in the Dependent Variable for prediction May 26, 7:46 PM 1 8 View answers Previous Next
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5/26/2020 Quiz -2: Predictive Modeling and Analytics - Great Learning 6/6 Proprietary content. ©Great Learning. All Rights Reserved. Unauthorized use or distribution prohibited. © 2020 All rights reserved Privacy Terms of service [email protected]
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  • Winter '16
  • Archana Chauhan
  • Regression Analysis, Logit, Linear Regression errors values

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