the equation sleep = 3,638.25 - .148 totwrk -11.13 educ + 2.20 age              (112.28)      (.017)        (5.88)            (1.45) n= 706, R^2 = 0 .113, where we now report standard errors along with the estimates. (i) Is either educ or age individually significant at the 5% level

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In Problem 3 in Chapter 3, we estimated the equation
sleep = 3,638.25 - .148 totwrk -11.13 educ + 2.20 age
             (112.28)      (.017)        (5.88)            (1.45)
n= 706, R^2 = 0 .113,
where we now report standard errors along with the estimates.
(i) Is either educ or age individually significant at the 5% level against a two-sided alternative? Show your work.
(ii) Dropping educ and age from the equation gives
sleep = 3,586.38 - 0.151 totwrk
             (38.91)         (.017)
n= 706, R^2= 0.103. 
 Are educ and age jointly significant in the original equation at the 5% level? Justify 
your answer.
(iii) Does including educ and age in the model greatly affect the estimated tradeoff 
between sleeping and working?

 

Note: the attached image is the problem 3 in Chapter 3 mentioned in the above question. You may have to refer to it.

The following model is a simplified version of the multiple regression model used by Bid-
dle and Hamermesh (1990) to study the tradeoff between time spent sleeping and working
and to look at other factors affecting sleep:
sleep Bo + B,totwrk + ß₂educ + ߸age + u,
where sleep and totwrk (total work) are measured in minutes per week and educ and age
are measured in years. (See also Computer Exercise C3 in Chapter 2.)
(i) If adults trade off sleep for work, what is the sign of B₁?
(ii) What signs do you think ß, and ß, will have?
Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter-
content does not materially affect the overall learning experience. Cengage Leaming reserves the right to remove additional content at any time of subsequent rights restrictions rec
CHAPTER 3 Multiple Regression Analysis: Estimation
(iii) Using the data in SLEEP75.RAW, the estimated equation is
sleep 3.638.25-148 tonerk 11.13 educ + 2.20 age
n = 706, Rª = .113.
Transcribed Image Text:The following model is a simplified version of the multiple regression model used by Bid- dle and Hamermesh (1990) to study the tradeoff between time spent sleeping and working and to look at other factors affecting sleep: sleep Bo + B,totwrk + ß₂educ + ߸age + u, where sleep and totwrk (total work) are measured in minutes per week and educ and age are measured in years. (See also Computer Exercise C3 in Chapter 2.) (i) If adults trade off sleep for work, what is the sign of B₁? (ii) What signs do you think ß, and ß, will have? Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter- content does not materially affect the overall learning experience. Cengage Leaming reserves the right to remove additional content at any time of subsequent rights restrictions rec CHAPTER 3 Multiple Regression Analysis: Estimation (iii) Using the data in SLEEP75.RAW, the estimated equation is sleep 3.638.25-148 tonerk 11.13 educ + 2.20 age n = 706, Rª = .113.
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