Question: The following regression output is from a logistic regression built to predict the probability of winning the Academy Award for Best Picture based on several

The following regression output is from a

The following regression output is from a logistic regression built to predict the probability of winning the Academy Award for Best Picture based on several different characteristics: 'OscarNominations' are the total number of nominations a movie got that year, 'Golden GlobeWins' are the total number of Golden Globe Wins that year, and 'Comedy' is a 0/1 variable that is equa to 1 if the movie was a comedy. Logistic Regression Results Dependent variable: Winner Constant 6.611 p=0.00000" Oscar Nominations 0,452 p=0.0004 Golden Globe Wins 0.893 D=0.0002" Comedy -16.691 p=0.991 Observations 145 Log Likelihood -40.274 Akaike Int. Crit. 89.548 Note: p

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