In: Statistics and Probability
Use the International Stock Market database from “Excel Databases.xls” on Blackboard. Use Excel to develop a multiple regression model to predict the DJIA by the Nasdaq, the S&P 500, the Nikkei, the Hang Seng, the FTSE 100, and the IPC. Performing a stepwise regression analysis at a 5% level of significance, add the independent variable from Step 2 and continue to perform the stepwise regression analysis until you have reached the best linear model. Which independent variables are in the best linear model? Check all that apply.
Excel Data Here
https://drive.google.com/file/d/1TQG5r2wzLGk--75whZXyb0SDTHZTWS0S/view?usp=sharing
A: Nasdaq
B: S&P 500
C: Nikkei
D: Hang Seng
E: FTSE 100
F: IPC
Choose All Answers That Apply
SUMMARY OUTPUT | ||||||
Regression Statistics | ||||||
Multiple R | 0.989 | |||||
R Square | 0.978 | |||||
Adjusted R Square | 0.976 | |||||
Standard Error | 218.055 | |||||
Observations | 63 | |||||
ANOVA | ||||||
df | SS | MS | F | Significance F | ||
Regression | 6 | 119,575,403.52 | 19,929,233.92 | 419.14 | 0.000 | |
Residual | 56 | 2,662,682.29 | 47,547.90 | |||
Total | 62 | 122,238,085.81 | ||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | |
Intercept | 1,412.330 | 381.634 | 3.701 | 0.000 | 647.824 | 2,176.835 |
NASDAQ | (1.259) | 0.633 | (1.987) | 0.052 | (2.528) | 0.010 |
S&P 500 | 10.799 | 1.633 | 6.611 | 0.000 | 7.527 | 14.071 |
NIKKEI 225 | (8.838) | 4.189 | (2.110) | 0.039 | (17.229) | (0.446) |
HANG SENG | 0.489 | 0.166 | 2.944 | 0.005 | 0.156 | 0.822 |
FTSE 100 | (0.128) | 0.107 | (1.195) | 0.237 | (0.343) | 0.087 |
IPC | 0.171 | 0.110 | 1.550 | 0.127 | (0.050) | 0.392 |