You want to study the effects of workload and fear of COVID19 contraction on police stress.

Below are your data that include four variables (n=20):

1. Officer ID
2. Workload (The number of hours per week spent on working during the peak-pandemic month)
3. Fear (The amount of fear of contracting COVID19 on a scale of 1-10)
4. Stress (A stress score on a scale of 1-100).

Officer ID	Workload	Fear	Stress
1	40	7	75
2	55	8	90
3	43	8	78
4	46	7	88
5	35	9	90
6	56	6	75
7	48	5	60
8	52	5	65
9	60	6	80
10	58	4	85
11	62	8	78
12	48	7	65
13	44	7	50
14	50	5	70
15	52	7	80
16	36	6	80
17	32	4	50
18	55	4	75
19	56	10	95
20	45	5	60

With this data, answer the following questions.

1. What is the level of analysis or unit of observation?
2. Below are the results of the multivariate regression equation when both workload and fear are in the regression equation. Provide a full interpretation of the results. (Hint: Interpret the y intercept, the slope coefficients, the standardized coefficients (Beta), the t-test results for the slopes, and the amount of variance explained.)

Model Summary
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate
1	.642a	.412	.342	10.41045
a. Predictors: (Constant), FEAR, WORKLOAD

Coefficientsa
Model	Unstandardized Coefficients	Standardized Coefficients	t	Sig.
B	Std. Error	Beta
1	(Constant)	24.207	16.372		1.479	.158
WORKLOAD	.488	.280	.324	1.740	.100
FEAR	4.143	1.407	.548	2.946	.009
a. Dependent Variable: STRESS