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Question 1 As an economic analyst at a company aiming to assess employee satisfaction (Y), you've received data on Salary (x1), working hours (x2), gender, and the project each employee is assigned to (international, remote, or domestic) (x3). These projects are mutually exclusive, meaning each employee works on only one project. Employees were asked to rate their satisfaction on a scale from 0 to 10, where 0 represents no satisfaction and 10 represents full satisfaction. A. What type of data have you collected: time series, cross-sectional, or panel data? Justify your answer. B. Do you believe these variables are adequate for evaluating employee satisfaction levels, or could additional relevant variables enhance the analysis? Explain the potential impact that the exclusion of relevant variables would have on the analysis. C. Illustrate how you can measure gender, and type of data you would use. D. Suppose the regression results yielded the following equation: Employee Satisfaction $= 5 - 0.6 \text{Hours} + 1.3 \text{Female} - 1.4 \text{Remote} + 0.86 \text{International}$ Interpret B0, B1, B2 and B3

          Question 1
As an economic analyst at a company aiming to assess employee satisfaction (Y),
you've received data on Salary (x1), working hours (x2), gender, and the project each
employee is assigned to (international, remote, or domestic) (x3). These projects are
mutually exclusive, meaning each employee works on only one project. Employees
were asked to rate their satisfaction on a scale from 0 to 10, where 0 represents no
satisfaction and 10 represents full satisfaction.
A. What type of data have you collected: time series, cross-sectional, or panel data?
Justify your answer.
B. Do you believe these variables are adequate for evaluating employee satisfaction
levels, or could additional relevant variables enhance the analysis? Explain the
potential impact that the exclusion of relevant variables would have on the analysis.
C. Illustrate how you can measure gender, and type of data you would use.
D. Suppose the regression results yielded the following equation:
Employee Satisfaction
$= 5 - 0.6 \text{Hours} + 1.3 \text{Female} - 1.4 \text{Remote} + 0.86 \text{International}$
Interpret B0, B1, B2 and B3

Question 1
As an economic analyst at a company aiming to assess employee satisfaction (Y),
you've received data on Salary (x1), working hours (x2), gender, and the project each
employee is assigned to (international, remote, or domestic) (x3). These projects are
mutually exclusive, meaning each employee works on only one project. Employees
were asked to rate their satisfaction on a scale from 0 to 10, where 0 represents no
satisfaction and 10 represents full satisfaction.
A. What type of data have you collected: time series, cross-sectional, or panel data?
Justify your answer.
B. Do you believe these variables are adequate for evaluating employee satisfaction
levels, or could additional relevant variables enhance the analysis? Explain the
potential impact that the exclusion of relevant variables would have on the analysis.
C. Illustrate how you can measure gender, and type of data you would use.
D. Suppose the regression results yielded the following equation:
Employee Satisfaction
= 5 - 0.6 Hours + 1.3 Female - 1.4 Remote + 0.86 International
Interpret B0, B1, B2 and B3

Added by Jennifer K.

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