The personnel director for Electronics Associates developed the following estimated regression equation relating an employee's score on a job satisfaction test to length of service and wage rate. ŷ = 14.4 − 8.69x1 + 13.52x2 where x1  =  length of service (years) x2  =  wage rate (dollars) y  =  job satisfaction test score (higher scores indicate greater job satisfaction).     #1) Find the value of the test statistic. (Round your answer to two decimal places.) F = Find the p-value. (Round your answer to three decimal places.) p-value =   #2)Did the estimated regression equation provide a good fit to the data? Explain. (Round your answers to two decimal places.) Since R2 =   Ra2 =    #3) Find the value of the test statistic for ?2. (Round your answer to two decimal places.) Find the p-value. (Round your answer to three decimal places.) p-value =

Question
The personnel director for Electronics Associates developed the following estimated regression equation relating an employee's score on a job satisfaction test to length of service and wage rate.
ŷ = 14.4 − 8.69x1 + 13.52x2
where
x1  =  length of service (years)
x2  =  wage rate (dollars)
y  =  job satisfaction test score (higher scores indicate greater job satisfaction).
 
 

#1) Find the value of the test statistic. (Round your answer to two decimal places.) F =

Find the p-value. (Round your answer to three decimal places.)
p-value =
 
#2)Did the estimated regression equation provide a good fit to the data? Explain. (Round your answers to two decimal places.)
Since R2 =
  Ra2
 
#3) Find the value of the test statistic for ?2. (Round your answer to two decimal places.) Find the p-value. (Round your answer to three decimal places.)
p-value =

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