In this exercise, you will investigate the relationship between eamings 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 i . Use a statistical package of your choice to answer the following questions. Run a regression of Eamings on Height. Is the estimated slope statistically significant? XA. Yes. B. No. Construct a 95% confidence interval for the slope coefficient using heteroskedasticity-robust standard errors i The 95% confidence interval for the slope coefficient is [ - 926.975 , 2150.001 ] (Round your responses to three decimal places) Run a regression of Eamings on Height using data for female workers only. Is the estimated slope statistically significant? XA. Yes. B. NO. Construct a 95% confidence interval for the slope coefficient using heteroskedasticity-robust standard errors i The 95% confidence interval for the slope coefficient is [ - 10923.156 . 5058.994 ] (Round your responses to three decimal places) Run a regression of Earnings on Height using data for male workers only. Is the estimated slope statistically significant? XA. Yes. B. NO. Construct a 95% confidence interval for the slope coefficient using heteroskedasticity-robust standard errors i. The 95% confidence interval for the slope coefficient is [ - 8550.076 , 22664.638 ] (Round your responses to three decimal places) Can you reject the null hypothesis that the effect of height on earnings is the same for men and women? X A. Yes. B. No.Variable Definitions Variable Definition Earnings Annual labor earnings, expressed in $2012. Height Height without shoes (in inches). Sex 1 = Male; 0 = Female