QUESTION 3 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. O Nasdag O S&P 500 O Nikkei O Hang Seng O FTSE 100 O IPC
QUESTION 3 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. O Nasdag O S&P 500 O Nikkei O Hang Seng O FTSE 100 O IPC
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Here is the link for the excel https://docs.google.com/spreadsheets/d/10QitIiY-vJVaC88bhhduSVoBw0cXRzsYbPZ-vCZx_Kg/edit?usp=sharing
![**Question 3:**
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.
- [ ] Nasdaq
- [ ] S&P 500
- [ ] Nikkei
- [ ] Hang Seng
- [ ] FTSE 100
- [ ] IPC
**Question 4:**
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. What is the increase in the r-squared value from the best initial model (step 1) to the final model you’ve chosen?
Write your answer as a number, round the final answer to 3 decimal places. (i.e. if r² = 0.24135 in step 1 and r² = 0.5255 in step 2, the increase would be 0.284)
[Answer Input Box]](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa9aee9d7-69b3-43e2-b021-7b6cf1d794ed%2Fb0210cd8-3883-4103-a6f8-356b7e36ec0c%2Fwkauztv_processed.png&w=3840&q=75)
Transcribed Image Text:**Question 3:**
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.
- [ ] Nasdaq
- [ ] S&P 500
- [ ] Nikkei
- [ ] Hang Seng
- [ ] FTSE 100
- [ ] IPC
**Question 4:**
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. What is the increase in the r-squared value from the best initial model (step 1) to the final model you’ve chosen?
Write your answer as a number, round the final answer to 3 decimal places. (i.e. if r² = 0.24135 in step 1 and r² = 0.5255 in step 2, the increase would be 0.284)
[Answer Input Box]
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