was nominated (1976-2015)
Based on the output (including the graph) below, about how many nominations are needed to have a 20% chance of winning Best Picture?
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Logistic Regression - winners
Dependent variable: 1=won 0= loss
Factors: number of categories nominated
Estimated Regression Model (Maximum Likelihood)
Standard |
Estimated |
||
Parameter |
Estimate |
Error |
Odds Ratio |
CONSTANT |
-5.17048 |
0.737865 |
|
number of categories nominated |
0.462202 |
0.0835516 |
1.58757 |
Analysis of Deviance
Source |
Deviance |
Df |
P-Value |
Model |
38.9351 |
1 |
0.0000 |
Residual |
172.834 |
226 |
0.9965 |
Total (corr.) |
211.769 |
227 |
Percentage of deviance explained by model = 18.3857
Adjusted percentage = 16.4968
Likelihood Ratio Tests
Factor |
Chi-Square |
Df |
P-Value |
number of categories nominated |
38.9351 |
1 |
0.0000 |
log (p/(1-p)) = -5.17048 + 0.4622 * x
here p = 0.2
hence
log(0.2/0.8) = -5.17048 + 0.4622 * x
solving x = 8.18
about 8 nomination
Please rate
was nominated (1976-2015) Based on the output (including the graph) below, about how many nominations are...
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