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Logistic Regression Analysis At Start Assignment Due Friday by 11:59pm Points 30 Submitting a text entry box or a file upload Available Apr 14 at

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Logistic Regression Analysis At Start Assignment Due Friday by 11:59pm Points 30 Submitting a text entry box or a file upload Available Apr 14 at 12pm - Apr 16 at 11:59pm 3 days Apply the logistic regression model on "movie attendance_logistic.sav" dataset, predict whether a college student is a "moviegoers" or a "non-moviegoers"(Q1), considering the following variables: Gender (Q12), and Classification(Q13). 1) Is this a high-performance model? (hint: Nagelkerke R-square)? 2) What percentage of students in the "moviegoers" category are predicted correctly? What percentage of students in the "non-moviegoers" category are predicted correctly? Overall, what is the percentage of correct prediction? 3) Are the estimated betas significant (hint: Wald-test)? What do they imply? 5) Based on this model, what is the probability of a female freshman to be a moviegoer? Show the calculation

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