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1 Using the data in SLEEP75 (see also Problem 3 in Chapter 3), we obtain the estimated equation sleep = 3,840.83 - .163 totwrk – 11.71 educ – 8.70 age (235.11) (.018) + .128 age + 87.75 male (34.33) n = 706, R² = .123, R² = .117. (5.86) (11.21) (.134) The variable sleep is total minutes per week spent sleeping at night, totwrk is total weekly minutes spent working, educ and age are measured in years, and male is a gender dummy. (i) All other factors being equal, is there evidence that men sleep more than women? How strong is the evidence? (ii) Is there a statistically significant tradeoff between working and sleeping? What is the estimated tradeoff? (iii) What other regression do you need to run to test the null hypothesis that, holding other factors fixed, age has no effect on sleeping?

1 Using the data in SLEEP75 (see also Problem 3 in Chapter 3), we obtain the estimated equation sleep = 3,840.83 - .163 totwrk – 11.71 educ – 8.70 age (235.11) (.018) + .128 age + 87.75 male (34.33) n = 706, R² = .123, R² = .117. (5.86) (11.21) (.134) The variable sleep is total minutes per week spent sleeping at night, totwrk is total weekly minutes spent working, educ and age are measured in years, and male is a gender dummy. (i) All other factors being equal, is there evidence that men sleep more than women? How strong is the evidence? (ii) Is there a statistically significant tradeoff between working and sleeping? What is the estimated tradeoff? (iii) What other regression do you need to run to test the null hypothesis that, holding other factors fixed, age has no effect on sleeping?

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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1 Using the data in SLEEP75 (see also Problem 3 in Chapter 3), we obtain the estimated equation sleep = 3,840.83 - .163 totwrk – 11.71 educ – 8.70 age (235.11) (.018) + .128 age + 87.75 male (34.33) n = 706, R² = .123, R² = .117. (5.86) (11.21) (.134) The variable sleep is total minutes per week spent sleeping at night, totwrk is total weekly minutes spent working, educ and age are measured in years, and male is a gender dummy. (i) All other factors being equal, is there evidence that men sleep more than women? How strong is the evidence? (ii) Is there a statistically significant tradeoff between working and sleeping? What is the estimated tradeoff? (iii) What other regression do you need to run to test the null hypothesis that, holding other factors fixed, age has no effect on sleeping?
Transcribed Image Text:1 Using the data in SLEEP75 (see also Problem 3 in Chapter 3), we obtain the estimated equation sleep = 3,840.83 - .163 totwrk – 11.71 educ – 8.70 age (235.11) (.018) + .128 age + 87.75 male (34.33) n = 706, R² = .123, R² = .117. (5.86) (11.21) (.134) The variable sleep is total minutes per week spent sleeping at night, totwrk is total weekly minutes spent working, educ and age are measured in years, and male is a gender dummy. (i) All other factors being equal, is there evidence that men sleep more than women? How strong is the evidence? (ii) Is there a statistically significant tradeoff between working and sleeping? What is the estimated tradeoff? (iii) What other regression do you need to run to test the null hypothesis that, holding other factors fixed, age has no effect on sleeping?
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