Suppose that a researcher, using data on class size (CS) and average test scores from 100 third-grade classes, estimates the OLS regression TestScore = 499.5840+ (-5.5872) x CS, R2 =0.09, SER = 11.0 (19.5840) (2.1879) Construct a 95% confidence interval for ẞ₁, the regression slope coefficient. The 95% confidence interval for B₁, the regression slope coefficient, is ( - 9.93, -1.25). (Round your responses to two decimal places.) The t-statistic for the two-sided test of the null hypothesis Ho: B₁ =0 is -2.5537. (Round your response to four decimal places.) Note: Assume a normal distribution. The p-value for the two-sided test of the null hypothesis Ho: B₁ = 0 is 0.0120. (Round your response to four decimal places.) 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 -3627.466, 1063.715] (Round your responses to three decimal places) . Use a
Suppose that a researcher, using data on class size (CS) and average test scores from 100 third-grade classes, estimates the OLS regression TestScore = 499.5840+ (-5.5872) x CS, R2 =0.09, SER = 11.0 (19.5840) (2.1879) Construct a 95% confidence interval for ẞ₁, the regression slope coefficient. The 95% confidence interval for B₁, the regression slope coefficient, is ( - 9.93, -1.25). (Round your responses to two decimal places.) The t-statistic for the two-sided test of the null hypothesis Ho: B₁ =0 is -2.5537. (Round your response to four decimal places.) Note: Assume a normal distribution. The p-value for the two-sided test of the null hypothesis Ho: B₁ = 0 is 0.0120. (Round your response to four decimal places.) 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 -3627.466, 1063.715] (Round your responses to three decimal places) . Use a
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
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Transcribed Image Text:Suppose that a researcher, using data on class size (CS) and average test scores from 100 third-grade classes, estimates the OLS regression
TestScore = 499.5840+ (-5.5872) x CS, R2 =0.09, SER = 11.0
(19.5840) (2.1879)
Construct a 95% confidence interval for ẞ₁, the regression slope coefficient.
The 95% confidence interval for B₁, the regression slope coefficient, is ( - 9.93, -1.25). (Round your responses to two decimal places.)
The t-statistic for the two-sided test of the null hypothesis Ho: B₁ =0 is -2.5537. (Round your response to four decimal places.)
Note: Assume a normal distribution.
The p-value for the two-sided test of the null hypothesis Ho: B₁ = 0 is 0.0120. (Round your response to four decimal places.)
![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
-3627.466, 1063.715]
(Round your responses to three decimal places)
. Use a](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2fc0ee15-0f91-464a-9c89-ff2e773a521f%2F9eaebc70-3edf-438f-8f5e-562da571f067%2Fo93udxs_processed.png&w=3840&q=75)
Transcribed Image Text: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
-3627.466, 1063.715]
(Round your responses to three decimal places)
. Use a
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