A logistic regression is estimated to analyze the probability of complications for male patients resulting from a

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A logistic regression is estimated to analyze the probability of complications for male patients resulting from a serious infection. Predictor variables include the patient’s weight, age, and whether he is diabetic (Diabetes equals 1 if diabetic, 0 otherwise). The accompanying data file includes information on 260 males who had tested positive for a serious infection.
a. Estimate the logistic regression model using Complication as the response variable and Weight, Age, and Diabetes as the predictor variables.
b. Find the predicted probability of complications for a 60-year-old diabetic male with weight equal to 160 pounds.
c. Find the corresponding probability for a nondiabetic male.


 

PatientComplicationWeightAgeDiabetes
10146500
20205290
31215690
40162450
50154640
60143690
70154290
80191820
90142300
100141620
110171790
120205330
130170490
140170340
150161831
160175780
170177261
180183840
190193511
200149311
210157710
220203400
230148620
240197400
250157380
260161250
270180760
280155780
290175470
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Business Analytics

ISBN: 9781265897109

2nd Edition

Authors: Sanjiv Jaggia, Alison Kelly, Kevin Lertwachara, Leida Chen

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