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Part 1 A linear regression analysis was performed in SPSS to evaluate the ability of independent variables full and part-time FTEs, number of Medicare certified

Part 1

A linear regression analysis was performed in SPSS to evaluate the ability of independent variables full and part-time FTEs, number of Medicare certified beds and urban vs. rural setting to predict dependent variable, occupancy rate. In paragraph, APA-formatted form, interpret the results. Include basic assumptions for regression analysis

a. Dependent Variable: OccRate b. All requested variables entered. For the chart above, the Independent Variables are: F59 FTEs Full Time [ACTTHRFT] F59 FTEs Part Time [ACTTHRPT] F33 FTEs Full Time [ADMIN_FT] F33 FTEs Part Time [ADMIN_PT] Medicare Certified Beds [MCAREBED] Urban = 1 Rural = 0 [URBAN]

Part 2 Use the same Excel file you used for the correlation assignment to calculate regression on obesity rates and total hospital expenditures (Data > Analyze Data (may be an add in) >Regression). Paste results and interpretation below.

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