This is data from the Study on the Efficacy of Nosocomial Infection Control (SENIC). The primary objective of SENIC was to determine whether infection surveillance and control programs have reduced the rates of nosocomial (hospital-acquired) infection in hospitals in the United States. The data are from a random sample of 113 such hospitals. For this problem, length of stay (LOS) is the dependent variable. The goal of the analysis is to develop the multiple regression (MLR) model that relates LOS to the “best” subset of the independent variables listed in the following table.
Above information is informational only. Please see the following and answer question 1 at the bottom.
Question: 1. Based on the results in this matrix, identify at least 4 characteristics of the model containing all 8 IVs (see informational tables above) that indicate that multicollinearity might be a problem.
Variable LabelVariable DescriptionAgeAverage age of all patients in the hospital in yearsinfectionriskAverage estimated probability of acquiringinfection in the hospital in percentculturingratioRatio of number of cultures performed to numberof patients without signs or symptoms of hospitalacquired infection x 100chestxravratioRatio of number of x-rays performed to number ofpatients without signs or symptoms of hospitalacquired infection x 100numbedsAverage number of beds in the hospitalaveragedailycensusAverage number of patients in the hospital per daynumnursesAverage number of full-time equivalent RNs andLPNsfacilitiesservicesPercent of 35 potential facilities and services thatare provided by the hospital
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