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A team of researchers for a group of medical clinics has data on the results of initial examinations by doctors. At the end of the initial examinations, the doctors assign each patient a score for the severity of the illness of the patient. The researchers want to develop a short questionnaire to help prioritize the sickest patients before examination by a doctor. Through consultation with subject matter experts and initial exploration of the data, the researchers select 8 variables to use to predict the severity score.
The researcher uses the model in the results to predict illness scores for new observations.
Number of Symptoms Now | 1 | 10 | |
High Production of Phlegm | 0 | 1 | |
Severe Shortness of Breath | 0 | 1 | |
Severe Chest Pain | 0 | 1 | |
Severe Headache | 0 | 1 | |
Severe Sleep Disturbance | 0 | 1 | |
Generally Feeling Very Bad | 0 | 1 | |
Limits on Normal Activities | 0 | 1 |
Minitab uses the multiple regression model in the results to estimate the illness scores for the set of prediction values. The researchers find that the illness score using the specified settings is approximately 3.29 for the first set and 57.6 for the second set.