Date
DJIA
S&P
January 6
12360
1278
January 13
12422
1289
January 20
12720
1315
January 27
12660
1316
February 3
12862
1345
February 10
12801
1343
February 17
12950
1362
February 24
12983
1366
March 2
12978
1370
March 9
12922
1371
March 16
13233
1404
March 23
13081
1397
March 30
13212
1408
April 5
13060
1398
April 13
12850
Use the data to develop an estimated regression equation showing how S&P 500 is related to DJIA. What is the estimated regression model?
Letx represent the DJIA indexes.
What is the 95% confidence interval for the regression parameterβ1?
Based on this interval, what conclusion can you make about the hypotheses that the regression parameterβ1 is equal to zero?
What is the 95% confidence interval for the regression parameterβ0?
Based on this interval, what conclusion can you make about the hypotheses that the regression parameterβ0 is equal to zero?
How much of the variation in the sample values of S&P 500 does the model estimated in part (b) explain
Suppose that the closing price for the DJIA is 13,500. Estimate the closing price for the S&P 500.
Should we be concerned that the DJIA value of 13,500 used to predict the S&P 500 value in part (e) is beyond the range of the used to develop the estimated regression equation?
Explain.
Already registered? Login
Not Account? Sign up
Enter your email address to reset your password
Back to Login? Click here