Nonlinear Regression Model Estimation

Introduction

In this project, you will learn how to perform unlinear regression to find the power p in a nonlinear relationship between variables x and y, where y = a * x^p + ε. The relationship between variables in real-world examples is often nonlinear, and this project will guide you through the process of transforming the data to make it a linear relationship.

🎯 Tasks

In this project, you will learn:

• How to understand the problem statement and the objective of the project
• How to implement the unlinear_regression() function to find the power p that best explains the relationship between x and y
• How to test the unlinear_regression() function with the provided example data
• How to understand the implementation of the unlinear_regression() function
• How to explore ways to extend the project and add more functionality

🏆 Achievements

After completing this project, you will be able to:

• Perform unlinear regression to find the power p in a nonlinear relationship
• Transform data to make a nonlinear relationship a linear one
• Implement a function to solve a specific problem
• Test and understand the implementation of a function
• Extend a project and explore new ideas