Estimate and interpret a logistic regression model to predict COVID testing results using the appropriate predictor variables.
Question:
Estimate and interpret a logistic regression model to predict COVID testing results using the appropriate predictor variables. Note: You may need to first subset the data based on age, sex, and/or contact due to the data size constraints of software packages.
Cough | Fever | Sore_Throat | Shortness_Of_Breath | Headache | Age_60_And_Above | Sex | Contact | Result |
0 | 0 | 0 | 0 | 0 | No | female | 0 | negative |
0 | 0 | 0 | 0 | 0 | No | female | 0 | negative |
1 | 0 | 0 | 0 | 0 | No | female | 0 | negative |
0 | 0 | 0 | 0 | 0 | No | male | 0 | negative |
0 | 0 | 0 | 0 | 0 | No | female | 0 | negative |
1 | 0 | 0 | 0 | 0 | Yes | female | 1 | negative |
0 | 0 | 0 | 0 | 0 | No | female | 1 | positive |
0 | 0 | 0 | 0 | 0 | No | male | 1 | positive |
0 | 0 | 0 | 0 | 0 | Yes | female | 1 | negative |
0 | 0 | 0 | 0 | 0 | No | male | 0 | negative |
0 | 0 | 0 | 0 | 0 | No | female | 0 | negative |
0 | 0 | 0 | 0 | 0 | Yes | male | 0 | negative |
0 | 0 | 0 | 0 | 0 | No | male | 0 | negative |
0 | 0 | 0 | 0 | 0 | No | female | 0 | negative |
0 | 0 | 0 | 0 | 0 | Yes | male | 0 | negative |
0 | 0 | 0 | 0 | 0 | No | male | 0 | negative |
0 | 0 | 0 | 0 | 0 | No | female | 0 | negative |
0 | 0 | 0 | 0 | 0 | No | female | 0 | negative |
0 | 0 | 0 | 0 | 0 | No | male | 0 | negative |
0 | 0 | 0 | 0 | 0 | female | 0 | negative | |
0 | 0 | 0 | 0 | 0 | No | female | 0 | negative |
0 | 0 | 0 | 0 | 0 | No | female | 0 | positive |
0 | 0 | 0 | 0 | 0 | No | female | 0 | negative |
0 | 0 | 0 | 0 | 0 | No | female | 0 | negative |
0 | 0 | 0 | 0 | 0 | No | female | 0 | negative |
0 | 0 | 0 | 0 | 0 | No | female | 0 | negative |
0 | 0 | 0 | 0 | 0 | No | male | 0 | negative |
0 | 0 | 0 | 0 | 0 | No | female | 1 | positive |
0 | 0 | 0 | 0 | 0 | Yes | female | 0 | positive |
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Related Book For
Business Analytics
ISBN: 9781265897109
2nd Edition
Authors: Sanjiv Jaggia, Alison Kelly, Kevin Lertwachara, Leida Chen
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