Construct a 95% confidence interval for the absolute value of the difference in average earnings? The 95% confidence interval for the difference in average earnings is $[ (Round your response to two decimal places) Consider the following scatterplot of annual earnings (Earnings) on height (Height). Why do the points on the plot fall along horizontal lines? Earnings 85960- O 75960- 65960- 55960- o 45960- O o o 35960- O o 25960- o 8 15960- o 5960- 66 68 67 Height Click to select your answer(s). O A. Because the variable Height is discrete. O B. Because the variable Earnings is continuous. O C. Because the variable Earnings is discrete. OD. Because the variable Height is continuous. Run a regression of Earnings on Height What is the estimated slope B,? The estimated slope B, is (Round your response to two decimal places) Use the estimated regression to predict the earnings for a worker who is 68 inches tall. Earnings for a worker who is 68 inches tall are predicted to be s (Round your response to two decimal places) Suppose height were measured in centimeters instead of inches. Answer the following questions about Earnings on Height (in cm) regression. Note that 1 inch = 2. 54 centimeters. What is the new estimated slope B,? The estimated slope B, is Click to select your answer(s). Me esulaleu siope P1 ISU (Round your response to two decimal places) What is the new estimated intercept ß. ? The estimated intercept ßo is. (Round your response to two decimal places) What is the R2 of the regression? The R2 of the regression is (Round your response to four decimal places) What is the standard error of the regression? The standard error of the regression is (Round your response up to the nearest integer) Do you think that height is uncorrelated with other factors that affect earnings? That is, do you think that the regression error term u; has a conditional mean of zero given Height (X;)? O A. Yes, OB. No. Click to select your answer(s). 66 66 66 66 66 66 66 66 66 67 Earnings and Height Earnings Height 84054. 75 84054. 75 33712. 96875 84054. 75 84054. 75 49430. 10938 38925. 33594 84054. 75 23362. 87305 84054. 75 38925. 33594 84054. 75 28560. 38672 23362. 87305 44152. 16016 84054. 75 33712. 96875 84054. 75 33712. 96875 49430. 10938 49430. 10938 84054. 75 44152. 16016 84054. 75 44152. 16016 49430. 10938 19237. 19531 999998 67 67 67 67 67 67 67 67 67 67 67 67 67 84054. 75 84054. 75 84054. 75 84054. 75 84054. 75 28560. 38672 49430. 10938 33712. 96875 28560. 38672 84054. 75 49430. 10938 84054. 75 84054. 75 28560. 38672 84054. 75 44152. 16016 84054. 75 84054. 75 33712. 96875 38925. 33594 84054. 75 84054. 75 84054. 75 84054. 75 44152. 16016 44152. 16016 84054. 75 84054. 75 68 68 68 68 68 68 68 68 68 68 68 68 68 68 68 68 68 68 68 68 68 68 68 68 68 68 68 68 68 68 68 68 68 68 68 84054. 75 10865. 42871 84054. 75 33712. 96875 84054. 75 44152. 16016 84054. 75 84054. 75 84054. 75 84054. 75 44152. 16016 28560. 38672 84054. 75 84054. 75 68 68 68 68 68 68 68