Investment Return in 2012 (%) y = 0.794x + 11.662 120 100 80 60 0 13 18 23 28 33 38 -20 -40 SUMMARY OUTPUT Regression Statistics Multiple R 0. 1955 R Square 0.0382 Adjusted R So 0.0317 Standard Erro 25.5511 Observations 150 ANOVA S.S MS F Significance F Regression 1 3840.3480 3840.3480 5.8824 0.0165 Residual 148 96622.9003 652.8574 Total 149 100463.2483 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 99.0% Upper 99.0% Intercept 1.6615 4.2003 2.7764 .0062 3.3612 19.9618 0.7010 22.6220 CEO Compens 0.7940 0.3274 2.4254 0.0165 0. 1471 1.4409 -0.0603 1.6482So, Now We Can Begin Our Report to Management Assuming now that the model you have identied is statistically significant, provide the following in a short report to management: (a) State and provide an interpretation of the Y intercept. ha and the slope coefficient, b1. (b) State and interpret the coefficient of determination for this model, in context of this queson. 80, Now What Is To Be Done? Two Last Items Before Providing Your Expert Opinion (c) From the Summary Output provided in EXHIBIT 3, state AND interpret the 95% confidence interval estimate of the population slope beta, correct to 4 decimal places. ((0 i) State the lower and upper limit of a 99% condence interval estimate of the population slope beta. You are NOT required to provide an interpretation. ii) Describe how this interval is different from your answer in (e), iii) AND what the differencefs mean