In this exercise, you will investigate the relationship between earnings and height. These data are taken from the US National Health Interview Survey for 1994. Download the data from the table by clicking the download table icon A detailed description of the variables used in the dataset is available here statistical package of your choice to answer the following questions. Run a regression of Earnings on Height. Is the estimated slope statistically significant? ○ A. Yes. B. No. Construct a 95% confidence interval for the slope coefficient using heteroskedasticity-robust standard errors Run a regression of Earnings on Height using data for female workers only. Is the estimated slope statistically significant? A. Yes. B. No. The 95% confidence interval for the slope coefficient is [ - 943.626, 2171.414] (Round your responses to three decimal places) Construct a 95% confidence interval for the slope coefficient using heteroskedasticity-robust standard errors The 95% confidence interval for the slope coefficient is [ - 10914.577, 5058.097] (Round your responses to three decimal places) Use a Run a regression of Earnings on Height using data for male workers only. Is the estimated slope statistically significant? A. Yes. B. No. Construct a 95% confidence interval for the slope coefficient using heteroskedasticity-robust standard errors. The 95% confidence interval for the slope coefficient is (Round your responses to three decimal places)

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

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Related questions

Question

please help me with the last question. Thank you

these are the dataset:

Earnings and Height,,
Earnings,Height,Sex
84118.75,59,0
84000.75,59,0
7811.8540039063,59,0
84049.75,59,0
84093.75,60,0
44099.16015625,60,0
17166.263671875,60,0
84008.75,60,0
83973.75,60,0
83998.75,60,0
38889.3359375,60,0
33739.96875,60,0
44186.16015625,61,0
33727.96875,61,0
49356.109375,61,0
84095.75,61,0
33637.96875,61,0
28592.38671875,61,0
44180.16015625,61,0
83965.75,61,0
44160.16015625,61,0
33757.96875,61,0
84133.75,61,0
83965.75,61,0
28472.38671875,61,0
33676.96875,61,0
49423.109375,61,0
33733.96875,62,0
18254.841796875,62,0
44164.16015625,62,0
84083.75,62,0
84138.75,62,0
44132.16015625,62,0
84121.75,62,0
10914.4287109375,62,0
84002.75,62,0
23332.873046875,62,0
38887.3359375,62,0
84037.75,62,0
83971.75,62,0
84060.75,62,0
23432.873046875,62,0
44165.16015625,62,0
83990.75,62,0
44149.16015625,62,0
84111.75,62,0
84133.75,62,0
23351.873046875,62,0
23335.873046875,63,0
49427.109375,63,0
9808.505859375,67,1
84082.75,67,1
23276.873046875,67,1
38885.3359375,67,1
20231.509765625,67,1
33628.96875,67,1
84091.75,67,1
84041.75,67,1
5593.8955078125,67,1
44247.16015625,68,1
84083.75,68,1
84009.75,68,1
33805.96875,68,1
38960.3359375,68,1
84145.75,68,1
84045.75,68,1
84035.75,68,1
84141.75,68,1
44160.16015625,68,1
44085.16015625,68,1
84130.75,68,1
84131.75,68,1
49397.109375,68,1
84112.75,68,1
84067.75,68,1
84123.75,68,1
10825.4287109375,68,1
84108.75,68,1
33717.96875,68,1
83999.75,68,1
44193.16015625,68,1
84067.75,68,1
84062.75,68,1
84097.75,68,1
84046.75,68,1
44214.16015625,68,1
28497.38671875,68,1
83997.75,68,1
84129.75,68,1
17095.263671875,68,1
23379.873046875,68,1
83964.75,68,1
84040.75,68,1
84106.75,69,1
84074.75,69,1
39012.3359375,69,1
28548.38671875,69,1
33791.96875,69,1
84060.75,69,1
23324.873046875,69,1
,,