Question: Need help with problem C. Assuming the residuals are normally distributed, construct a 99% confidence interval for the slope of the true least square regression
Need help with problem C. Assuming the residuals are normally distributed, construct a 99% confidence interval for the slope of the true least square regression line. Need help with the lower bound and upper bound. Round to two decimal places. Thank You

Homework: 7-2 MyStatLab: Module Seven Problem Set Save Score: 2.8 of 7 pts 9 of 10 (10 complete) HW Score: 84.57%, 54.97 of 65 pts Xx 14.1.19-T Question Help The accompanying data represent the total compensation for 12 randomly selected chief executive officers (CEOs) and the company's stock performance. Use the data to complete parts (a) through (d). Click the icon to view the data table. (a) Treating compensation as the explanatory variable, x, use technology to determine the estimates of Po and P, . The estimate of P, is 0.076 (Round to three decimal places as needed.) The estimate of Bo is 49.0 (Round to one decimal place as needed.) (b) Assuming that the residuals are normally distributed, test whether a linear relation exists between compensation and stock return at the or = 0.01 level of significance. What are the null and alternative hypotheses? O A. Ho: P1 = 0 Hy: By =0 OB. Ho: Bo = 0 H: Bo = 0 C. Ho: B, = 0 O D. Ho: Po = 0 H: Po = 0 Compute the test statistic using technology. 0.04 (Round to two decimal places as need i Data Table of Compensation and Stock Performance X Compute the P-value using technology. Compensation Stock 0.97 (Round to three decimal places as nee Company (millions of dollars) Return (%) State the appropriate conclusion. Choose the A 15.55 76.06 4.32 68.18 C 7.01 148.19 A. Do not reject Ho. There is not sufficie 1.01 32.72 1.01 10.24 and stock return. O B. Reject Ho. There is not sufficient evid 3.02 30.77 ck return O C. Do not reject Ho. There is sufficient e -IC 11.69 0.64 7.59 60.33 stock return. O D. Reject Ho. There is sufficient evidence XL - 9.26 56.83 3.82 52.82 return. (c) Assuming the residuals are normally distr 21.89 26.28 6.62 31.47 juares regression line. Lower bound = Upper bound = Print Done (Round to two decimal places as needed.)
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