Select the best descriptions for each of the items listed below. These items refer to the figure shown here. Assume that the line shown in the figure is from a CAPM- based regression for IBM. Assume the equation for the line is y = 2.7433x - 0.0165 and the R2 = 0.6395. -0.150 Name of this type of line Intercept for this line beta -0.100 -0.050 [Choose ] [Choose] [Choose l 0-500 0400 0.300 0.200 0.100 0.000 0.000* -0-100 0.200 -0.300 -0.400 -> 0.050 0.100

Select the best descriptions for each of the items listed below. These items refer to the figure shown here. Assume that the line shown in the figure is from a CAPMbased regression for IBM. Assume the equation for the line is y=2.7433x0.0165 and the R2=0.6395. Name of this type of line Intercept for this line Name of this type of line Intercept for this line beta label for horizontal axis label for vertical axis percent of total risk in IBM returns coming from firm-specific events vertical distances between blue dots and line residuals standard deviation 1 CAL risk free rate alpha SCL CML 2.743 average market risk premium historical excess returns on market historical excess returns on IBM 36.05%2.743%SML63.95%