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 1370 a.Develop the estimated regression equation. b. Test for a significant relationship. Use a = .05. c. Did the estimated regression equation provide a good fit? Explain. d. Suppose that the closing price for the DJIA is 13,500. Predict the closing price for the S&P 500. e. 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 data used to develop the estimated regression equation?

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ISBN:9781119256830
Author:Amos Gilat
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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 1370

a.Develop the estimated regression equation.
b. Test for a significant relationship. Use a = .05.
c. Did the estimated regression equation provide a good fit? Explain.
d. Suppose that the closing price for the DJIA is 13,500. Predict the closing price for the S&P 500.
e. 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 data used to develop the estimated regression equation?

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