A forecaster decided to analyze the data set in Problem 1 using a quadratic equation to predict DJIA. The plot and the Excel output are shown below.

Use the following for Questions 3 and 4. A forecaster decided to analyze the data set in Problem 1 using a quadratic equation to predict DJIA. The plot and the Excel output are shown below. Regression Statistics DJIA Multiple R 0.846 12,000.00 R Square 0.716 Adjusted R Square 0.653 10,000.00 Standard Error 392.384 8,000.00 Observations 12 0 1 2 3 4 5 6 7 8 9 1011 1213 Month ANOVA SS MS F Signif F Regression 2 3500363 1750181 11.36739 0.003445 Residual 9 1385686 153965.1 Total 11 4886048 Coeff Stand Err t Stat P-value Lower 95% Upper 95% Intercept 9022.995 405.540 22.249 0.000 8105.600 9940.391 Month 356.828 143.430 2.488 0.035 32.365 681.290 Month squared -16.017 10.741 -1.491 0.170 -40.314 8.280