Quantitative multiple regression | Numerical analysis homework help

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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)?

· H08: 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).

· Ha8: 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
Cronk: pp. 32 – 33)

1. To test for normal distribution, run the Shapiro-Wilk test (Review
Read: Testing Normality of Dataset found in the Learn items for this module: week.)

1. When you run the Multiple Regression, ensure you select options for multicollinearity and residual plots (see Cronk).

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