Analyzed financial reports of startups and developed a multiple linear regression model which was optimized using backwards elimination to determine which independent variables were statistically significant to the company's earnings. Profit predictions can be made given a variety of quantitative and categorical data.
-
Notifications
You must be signed in to change notification settings - Fork 0
Analyzed financial reports of startups and developed a multiple linear regression model which was optimized using backwards elimination to determine which independent variables were statistically significant to the company's earnings.
manesioz/Multiple-Linear-Regression-Model
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Analyzed financial reports of startups and developed a multiple linear regression model which was optimized using backwards elimination to determine which independent variables were statistically significant to the company's earnings.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published