manager at a local bank analyzed the relationship between monthly salary (y, in $) and length of service (x, measured in months) for 30 employees. She estimates the model: Salary = β0 + β1 Service + ε. The following ANOVA table summarizes a portion of the regression results.   df SS MS F Regression 1 555,420 555,420 7.64 Residual 27 1,962,873 72,699   Total 28 2,518,293   Coefficients Standard Error t-stat p-value Intercept 784.92 322.25 2.44 0.02 Service 9.19 3.20

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A manager at a local bank analyzed the relationship between monthly salary (y, in $) and length of service (x, measured in months) for 30 employees. She estimates the model:

Salary = β0 + β1 Service + ε. The following ANOVA table summarizes a portion of the regression results.

 

  df SS MS F
Regression 1 555,420 555,420 7.64
Residual 27 1,962,873 72,699  
Total 28 2,518,293    
  Coefficients Standard Error t-stat p-value
Intercept 784.92 322.25 2.44 0.02
Service 9.19 3.20 2.87 0.01

 

 Which of the following is the monthly salary of an employee that has worked for 48 months at the bank?

 

O
O
C
$441
$785
$1,050
$1,226
Transcribed Image Text:O O C $441 $785 $1,050 $1,226
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