This paper circulates around the core theme of Specify the model in terms of a regression equation. For each predictor variable, state a hypothesis based on your understanding of the expected relationship of that variable to the dependent variable and provide your rationale for the stated hypothesis. together with its essential aspects. It has been reviewed and purchased by the majority of students thus, this paper is rated 4.8 out of 5 points by the students. In addition to this, the price of this paper commences from £ 99. To get this paper written from the scratch, order this assignment now. 100% confidential, 100% plagiarism-free.
Multiple Regression Analysis
To prepare for this second Final Project assignment, it is suggested
that you review pertinent information presented in previous weeks of
this course (e.g., topics related to hypothesis testing, descriptive
statistics, and measure of central tendency).
To complete the assignment, use the saved version of the
VirginiaHospitals_2001-2005 database to create a new worksheet by
copying and pasting the variables listed below.
Next, run a multiple regression model using 2005 data that has Total
operating expense_05 as the dependent variable and the following
variables as independent predictors:
Staffed beds_05
Medicare Days_05
Medicaid Days_05
Total Surgeries_05
RN FTE_05
Occupancy
Ownership
System Membership
Rural/Urban
Teaching Affiliation
Age 65+
Crime Rate
Uninsured
Then, write a 2- to 3-page paper in which you:
Specify the model in terms of a regression equation.
For each
predictor variable, state a hypothesis based on your understanding of
the expected relationship of that variable to the dependent variable and
provide your rationale for the stated hypothesis.
Report summary descriptive statistics for each of the variables in your model (mean or percentage, and standard deviation).
Report
the coefficient and the sign (plus [+] or minus [–]) for each variable
and the statistical significance of each variable (level of significance
or nonsignificance), as well as the R-square for the model.
Interpret the findings and explain what they would mean to a health care professional working in a hospital setting.
