The personnel director for Electronics Associates developed the following estimated regression equation relating an employee's score on a job satisfaction test to his or her length of service and wage rate. y-hat = 14.4 - 8.69x1 +13.5x2 where: x1 = length of service (years) x2 = wage rate (dollars) y = job satisfaction test score (higher scores indicate greater job satisfaction) Round your answers to 2 decimal places. a. Interpret the coefficients in this estimated regression equation. If the wage rate does not change, a one-year increase in length of service is associated with - Select your answer - in job satisfaction score by _______________ units. If the length of service does not change, a dollar increase in wage results in - Select your answer - in job satisfaction score by _______________ units. b. Predict the job satisfaction test score for an employee who has four years of service and makes $6.50 per hour. _________________
The personnel director for Electronics Associates developed the following estimated regression equation relating an employee's score on a job satisfaction test to his or her length of service and wage rate.
y-hat = 14.4 - 8.69x1 +13.5x2
where:
x1 = length of service (years)
x2 = wage rate (dollars)
y = job satisfaction test score (higher scores
indicate greater job satisfaction)
Round your answers to 2 decimal places.
a. Interpret the coefficients in this estimated regression equation.
If the wage rate does not change, a one-year increase in length of service is associated with - Select your answer -
in job satisfaction score by _______________ units. If the length of service does not change, a dollar increase in wage results in - Select your answer - in job satisfaction score by _______________ units.
b. Predict the job satisfaction test score for an employee who has four years of service and makes $6.50 per hour. _________________
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