Multiple Regression Using Python Programming
Name: Tejas Sahoo
Roll No: K057
Branch: BTech Cyber Security
Aim:
To implement multiple regression using python programming
Introduction:
Multiple linear regression (MLR) is a statistical technique that uses several explanatory variables to predict the outcome of a response variable. It is an extension of ordinary least-squares regression.
Applications:
- Marketing: To predict sales.
- Healthcare: To estimate patient outcomes.
- Economics: To forecast economic indicators.
- Education: To analyze student performance.
Advantages:
- Determines relative influence of variables.
- Identifies outliers and anomalies.
Disadvantages:
- Pitfalls of incomplete data.
- Incorrect conclusions due to outliers.
Output
Conclusion:
Multiple regression was successfully implemented in Python.