StepByStepLinearRegression 0.1.0

A package for step-by-step regression analysis including simple, multiple, and logistic regression.

Step-by-Step Linear Regression

This Python package is designed to assist students learning simple, multiple, and logistic regression by breaking down every calculation step.
It is especially helpful when solving exam-style problems, where it's easy to make minor arithmetic errors that derail understanding.
Instead of spending excessive time on mechanical computation, you can use this tool to verify intermediate steps, identify mistakes quickly, and focus more on understanding the underlying formulas and concepts.

Features

• .fit(X, y) — fits the model
• .summary() — prints slope, intercept, SSR, SSE, MSE, etc.
• .steps_df — prints an annotated DataFrame showing internal computation steps

Installation

Clone the repository and import locally:

git clone https://github.com/mellamochiao/StepByStepLinearRegression.git
cd StepByStepLinearRegression

Usage

It is recommended to run this package in .ipynb (Jupyter Notebook) format for best interactivity and readability of computation steps. Check test.ipynb to see how to use this package in practice.

Author

Created by Mellamochiao.
This project is part of a personal learning journey in regression analysis and Python package development.