Multiple linear regression is a logical extension to the Pearson Product-Moment Correlation test. Researchers use multiple linear regression to examine the relationship between at least two predictor variables and a scale (numerical) dependent variable. Multiple linear regression is the most commonly used statistical test for quantitative DBA studies.
For this Assignment, you will run a multiple linear regression using the Week 6 Data File for Multiple Linear Regression. You will use “job satisfaction” as the dependent variable.
To prepare for this Assignment, review Lesson 16A and Lessons 31–35 in your Green and Salkind (2017) text, the Week 6 Assignment Exemplar and Week 6 Assignment Template documents, as well as the tutorial videos provided in this week’s Resources. Consider how a multiple regression analysis will allow you to answer your research questions effectively.
Submit a synthesis of statistical findings derived from multiple regression analysis that follows the Week 6 Assignment Template. Your synthesis must include the following:
Note:You will cut and paste the appropriate SPSS output into the Appendix. The SPSS output is not in APA format, so you will need to type the information from the SPSS output to the appropriate sections of the APA table. You must use the Week 6 Assignment Template to complete this Assignment.

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