We assume that our wages will increase as we gain experience and become more valuable to our employers. Wages also increase because of inflation. By examining a sample of employees at a given point in time, we can look at part of the picture. How does length of service (LOS) relate to wages? The data here (data414.dat) is the LOS in months and wages for 60 women who work in Indiana banks. Wages are yearly total income divided by the number of weeks worked. We have multiplied wages by a constant for reasons of confidentiality.
(a) Plot wages versus LOS. Consider the relationship and whether
or not linear regression might be appropriate.
(b) Find the least-squares line. Summarize the significance test
for the slope. What do you conclude?
Wages = | _____ + _____ LOS |
t = _____ | |
P = ______ |
(c) State carefully what the slope tells you about the relationship
between wages and length of service.
________________
(d) Give a 95% confidence interval for the slope.
( _____ , _____ )
solution :
given that,
a)
applying regression on above data:
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