Running head: Using Multiple Regression 1
CJUS745 Week 7 Quantitative Analysis Report: Multiple Regression Analysis
Assignment
QUANTITATIVE A R : M R ANALYSIS EPORT ULTIPLE EGRESSION NALYSIS
ASSIGNMENT INSTRUCTIONS
OVERVIEW
You will take part in several data analysis assignments in which you will develop a report using
tables and figures from the IBM SPSS output file of your results. Using the resources and
®
readings provided, you will interpret these results and test the hypotheses and writeup these
interpretations.
INSTRUCTIONS
Copy and paste all tables and figures into a Word document and format the results in
APA current edition.
Interpret your results.
Final report should be formatted using APA current edition, and in a Word document.
4-5 double-spaced pages of content in length (not counting the title page or references).
The uses the Quantitative Analysis Report: Multiple Regression Analysis Assignment
Productivity. sav dataset. Address the following research question using a multiple regression
(MR) model. Provide all assumptions for the MR test:
RQ 8: Is there a significant predictive relationship of employee productivity (productivity) from
levels of Teamwork (teamwork), Technical Knowledge (jobknowl), Adequate Authority to do job
well (jobauthr), Fair Treatment (wkrtrtmt), and Sick Days (wrkdyssk)?
H08: There is no statistically significant predictive relationship of employee productivity
(productivity) from levels of Teamwork ( ), Technical Knowledge ( ), teamwork jobknowl
Adequate Authority to do job well ( ), Fair Treatment ( ), and Sick Days jobauthr wkrtrtmt
(wrkdyssk).
Ha8: There is a statistically significant predictive relationship of employee productivity
(productivity) from levels of Teamwork ( ), Technical Knowledge ( ), teamwork jobknowl
Adequate Authority to do job well ( ), Fair Treatment ( ), and Sick Days jobauthr wkrtrtmt
(wrkdyssk).
There are several assumptions for a multiple regression that must be met:
1. First, the dependent variable must be normally distributed. If not, it must be converted to
