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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
,,
![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](https://content.bartleby.com/qna-images/question/2fc0ee15-0f91-464a-9c89-ff2e773a521f/fb3692ca-d66a-4388-bcee-24afe3eddb47/ig7rrm_processed.png)
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