Employees Productivity Quantitative Analysis Report Using Multiple Linear Regression
Assignment: Employees’ Productivity Quantitative Analysis Report Using Multiple Linear Regression. This assignment uses the 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)?
H 0 8: There is no statistically 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).
H a 8: There is a statistically 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).
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
z scores (see page 32-33 in Cronk).
2. To test for normal distribution, run the Shapiro-Wilk test (See Testing Normality of
Dataset.pdf).
3. When you run the Multiple Regression, ensure you select options for multicollinearity
and residual plots (see Cronk).
o See Multiple Regression Primer for SPSS.pdf.
o A comprehensive resource to help guide you is included with the assignment
Multiple Regression Comprehensive Review.pdf.
General Instructions
As doctoral students, your assignments are expected to follow the principles of high-quality
scientific standards and promote knowledge and understanding in the field of public
administration. You should apply a rigorous and critical assessment of a body of theory and
empirical research, articulating what is known about the phenomenon and ways to advance
research about the topic under review. Research syntheses should identify significant variables, a systematic and reproducible search strategy, and a clear framework for studies included in the
larger analysis.
Manuscripts should not be written in first person (“I”). All material should be 12-point, Times
New Roman type, double-spaced with margins of one inch.
All manuscripts should be clearly and concisely written, with technical material set off. Please do not use jargon, slang, idioms, colloquialisms, or bureaucratese. Use acronyms sparingly and spell them out the first time you use them. Please do not construct acronyms from phrases you repeat frequently in the text.
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