A perfect fitting model would have a likelihood equal to 1 and -2LL equal to 0.
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Q14: When testing the improvement in the likelihood
Q15: Logistic regression is used when the dependent
Q16: The OLS model is a nonlinear model
Q17: The logistic regression coefficient can be transformed
Q18: The Wald statistic is comparable to the
Q20: Estimating an OLS model on a binary
Q21: You obtain a regression coefficient of .132.
Q22: Exponentiating the value in question 21 results
Q23: The logistic regression model is appropriate for
Q24: While there are disadvantages of using a
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