In Section 3.2, we introduced one measure of risk used by nancial analysts, the standard deviation of

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In Section 3.2, we introduced one measure of risk used by financial analysts, the standard deviation of rate of return. In this problem we will learn about a second measure of risk of a stock, the beta of a stock. The following data represent the annual rate of return of General Electric (GE) stock and the annual rate of return of the Standard & Poor’s 500 (S&P 500) Index for the past 15 years.

In Section 3.2, we introduced one measure of risk used

(a) Draw a scatter diagram of the data treating the rate of return of the S&P 500 as the explanatory variable.
(b) Determine the correlation coefficient between rate of return of the S&P 500 and GE stock.
(c) Based on the scatter diagram and correlation coefficient, is there a linear relation between rate of return of the S&P 500 and GE?
(d) Find the least-squares regression line treating the rate of return of the S&P 500 as the explanatory variable.
(e) Predict the rate of return of GE stock if the rate of return of the S&P 500 is 0.10 (10%).
(f ) If the actual rate of return for GE was 13.2% when the rate of return of the S&P 500 was 10%, was GE’s performance above or below average among all years the S&P 500 returns were 10%?
(g) Interpret the slope.
(h) Interpret the intercept, if appropriate.
(i) What proportion of the variability in GE’s rate of return is explained by the variability in the rate of return of the S&P 500?

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Fundamentals Of Statistics

ISBN: 9780321844606

4th Edition

Authors: Michael Sullivan III

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