Q.4 [25 points] A study investigated whether variables related to employees job-functioning were

significantly related to and predicted employees job satisfaction, while also controlling for employees gender and age.

Researchers designed a cross-sectional study and collected data with an anonymous online survey. Of all 500 agency employees, 218 employees were randomly selected and consented online. Below is Table 4 that provides data for multiple regression analysis (MRA), and the data were provided by 200 consented employees, who provided responses on all of the selected variables. Please answer the questions posed below Table 4.

Variables	b unstandardized	b(SE)	eta	p
Gender: Male = 0 Female = 1	1.67	0.12	0.140	0.031
Age	0.85	0.10	0.001	0.125
Resilience	2.57	0.18	0.562	0.001
Sleep less 8hr = 0 Sleep 8hrs or more = 1	-0.34	0.13	0.152	0.010
Length of time on the job	-1.43	0.09	0.325	0.001
Virtual supervision = 0 In-person supervision =1	-0.21	0.11	0.130	0.033
Commitment to the agency	0.31	0.10	0.289	0.005
Note: Model Constant=10.12, SE=31.23; Model R2=0.4912, Adj.R2=0.48.45 at p < 0.001.

Questions:

1. Indicate how many consented employees did not provided responses on all variables:
2. Specify the criterion variable in this study:
3. Indicate how many predictor variables were included in this analysis:
4. Indicate how many variables showed that they were significant predictors, and how do you know:
5. Indicate which variables showed they were not statistically predictive of job satisfaction:
6. Identify what percentage of job satisfaction was explained by the analyzed model, and how do you know:
7. Explain how the two control variables were related to job satisfaction; please be explicit:
8. Interpret the findings on the relationship between the type of supervision (virtual vs. in-person) and employees job satisfaction; please be explicit:
9. Indicate the best 3 statistically significant predictors of job satisfaction, and explain how you do you know:
10. Indicate whether the results are generalizable and in what way, and how you know: