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Management: Healthcare management is BIG business in the United States these days. A regional health insurance company is interested in better understanding the quality of care provided to diabetes patients. Therefore, the company's Analytics Division collected information on a random sample of diabetes patients who filed claims with the company from September 1, 2003 to August 31, 2015. Patients in the sample ranged in age from 35 to 55 years. Expert physicians reviewed claims, wrote descriptive notes, and rated quality of care on a two-point scale (poor/good). The following variables were available fo this analysis: PoorCare: Coded as "Yes" (i.e., the quality of care was considered poor) or "No" (i.e., the quality of care was considered good). InpatientDays: The number of inpatient visits, or, in other words, the number of days the person spent in the hospital. OfficeVisits: The number of times the patient visited any doctor's office. Narcotics: A binary variable coded 1 if the patient was prescribed more than 10 narcotic-based drug regimens, 0 otherwise. THE RAW DATA FOR THIS QUESTION ARE **NOT** AVAILABLE TO YOU. Use the output below to answer the following questions. Logistic Regression Model Dependent Variable: PoorCare Dependent Variable Information Variable Value Coding Frequency Percent PoorCare Yes 1 33 25.19 (Event) No 0 98 74.81 Total (N Used) 131 100.00 Global Test for All Slopes: BETA = 0 Test Chi-Square df p-value Likelihood Ratio 27.643 3