Use the information below to answer questions 7 to 9. An analyst runs a regression to...

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Use the information below to answer questions 7 to 9. An analyst runs a regression to test the relationship between the market risk (independent variable) and the returns of XYZ Ltd.'s stock (dependent variable). The table below shows the regression output. Regression Statistics R 0.8133 R2 0.6615 Standard error of estimate 0.0574 Observations 50 Coefficients Standard Error 1-Statistic Intercept Slope 1.0043 1.3862 0.3511 2.8604 0.1285 10.7875 7. How much of the variation in XYZ's stock returns is explained by the market risk? a) 0.8133 b) 0.6615 c) 1.3862 d) 10.7875 8. Test the null hypothesis, H.: b = 0 against the alternative hypothesis, H: by 0 using a t-test at the 5% significance level. We decide to: a) Reject the null hypothesis b) Fail to reject the null hypothesis c) None d) Both 9. How much of XYZ Ltd.'s stock returns are not attributed to the market risk? a) 0.6615 b) 0.3385 c) 0.5322 d) 0.7103 Use the information below to answer questions 7 to 9. An analyst runs a regression to test the relationship between the market risk (independent variable) and the returns of XYZ Ltd.'s stock (dependent variable). The table below shows the regression output. Regression Statistics R 0.8133 R2 0.6615 Standard error of estimate 0.0574 Observations 50 Coefficients Standard Error 1-Statistic Intercept Slope 1.0043 1.3862 0.3511 2.8604 0.1285 10.7875 7. How much of the variation in XYZ's stock returns is explained by the market risk? a) 0.8133 b) 0.6615 c) 1.3862 d) 10.7875 8. Test the null hypothesis, H.: b = 0 against the alternative hypothesis, H: by 0 using a t-test at the 5% significance level. We decide to: a) Reject the null hypothesis b) Fail to reject the null hypothesis c) None d) Both 9. How much of XYZ Ltd.'s stock returns are not attributed to the market risk? a) 0.6615 b) 0.3385 c) 0.5322 d) 0.7103