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
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The log of the probability of success
All of the above
True

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Quiz -2: Predictive Modeling and Analytics - Great Learning
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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
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There can be more than 2 categories in the Dependent Variable for prediction
May 26, 7:46 PM
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- Winter '16
- Archana Chauhan
- Regression Analysis, Logit, Linear Regression errors values