The estimated logit regression in your textbook is $\widehat{\operatorname { Pr } ( \text { deny } = 1 \mid \text { P/Iratio,black } )}$ = F(-4.13 + 5.37 P/Iratio + 1.27 black)
Using a spreadsheet program, such as Excel, generate a table with predicted probabilities for both whites and blacks using P/I Ratiovalues between 0 and 1 and increments of 0.05.

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The Answer of The estimated logit regression in your textbook is $\widehat{\operatorname { Pr } ( \text { deny } = 1 \mid \text { P/Iratio,black } )}$ = F(-4.13 + 5.37 P/Iratio + 1.27 black)
Using a spreadsheet program, such as Excel, generate a table with predicted probabilities for both whites and blacks using P/I Ratiovalues between 0 and 1 and increments of 0.05.

The Estimated Logit Regression in Your Textbook Is Pr⁡( deny =1∣ P/Iratio,black )^\widehat{\operatorname { Pr } ( \text { deny } = 1 \mid \text { P/Iratio,black } )}Pr( deny =1∣ P/Iratio,black )​

The Estimated Logit Regression in Your Textbook Is $\widehat{\operatorname { Pr } ( \text { deny } = 1 \mid \text { P/Iratio,black } )}$