The OLS model is a nonlinear model while the logit model is linear.
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Q11: To obtain the percent change in the
Q12: The likelihood of a model is _.
A)
Q13: A good logistic model, one wherein the
Q14: When testing the improvement in the likelihood
Q15: Logistic regression is used when the dependent
Q17: The logistic regression coefficient can be transformed
Q18: The Wald statistic is comparable to the
Q19: A perfect fitting model would have a
Q20: Estimating an OLS model on a binary
Q21: You obtain a regression coefficient of .132.
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