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Even though logistic regression is

  1. How are logistic regression coefficients estimated?
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  2. can you use the least squares method for logistic regression
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  3. What is the defintion of Logistic Multiple Regression Analysis?
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    2. John asked by John
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  4. 1) Describe how you would have used the Naive Bayes algorithm for Project 2 (instead of logistic regression).
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  5. Can The anti-logs of logistic regression coefficients, i.e. Exp(B), can be interpreted as odds multipliers?
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    2. Mark asked by Mark
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  6. Do Logistic regression-based loan decisions that approve all loans with greater than 0.5 probability of performing ensure
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    2. Mark asked by Mark
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  7. An exponentiated logistic regression coefficient, i.e. Exp(B), that is close to one, indicates that predicted odds are not
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  8. Even though logistic regression is formulated with continuous input data in mind, one can also try to apply it to categorical
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  9. Even though logistic regression is formulated with continuous input data in mind, one can also try to apply it to categorical
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  10. Even though logistic regression is formulated with continuous input data in mind, one can also try to apply it to categorical
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