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Using the coefficient estimates of the following market model linear regression of General Motors (GM) on the S&P500 market returns, Coefficients: Estimate Std. Error t value Pr(>It) (Intercept) 0.005860 0.003704 1.582 0.12412 sp500 0.904753 0.266702 3.392 0.00196 ** what is the predicted value for the return of GM given that the S&P500 return is 5% ? The number of observations is 32. 0.0104 0.0511 -0.0394 None of the above 0.4582

Using the coefficient estimates of the following market model linear regression of General Motors (GM) on the S&P500 market returns, Coefficients: Estimate Std. Error t value Pr(>It) (Intercept) 0.005860 0.003704 1.582 0.12412 sp500 0.904753 0.266702 3.392 0.00196 ** what is the predicted value for the return of GM given that the S&P500 return is 5% ? The number of observations is 32. 0.0104 0.0511 -0.0394 None of the above 0.4582

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 5PPS
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Using the coefficient estimates of the following market model linear regression of General Motors (GM) on the S&P500 market returns, Coefficients: Estimate Std. Error t value Pr(>It) (Intercept) 0.005860 0.003704 1.582 0.12412 sp500 0.904753 0.266702 3.392 0.00196 ** what is the predicted value for the return of GM given that the S&P500 return is 5% ? The number of observations is 32. 0.0104 0.0511 -0.0394 None of the above 0.4582
Transcribed Image Text:Using the coefficient estimates of the following market model linear regression of General Motors (GM) on the S&P500 market returns, Coefficients: Estimate Std. Error t value Pr(>It) (Intercept) 0.005860 0.003704 1.582 0.12412 sp500 0.904753 0.266702 3.392 0.00196 ** what is the predicted value for the return of GM given that the S&P500 return is 5% ? The number of observations is 32. 0.0104 0.0511 -0.0394 None of the above 0.4582
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