We analyze the data of ReCell case study, build a linear regression model to predict the price of a used phone, measure the performance of the model, check linear regression assumptions, and identify factors that significantly influence the target variable.
Outline
- Problem Statement
- Data Overview
- Exploratory Data Analysis (EDA)
- Data Preprocessing
- Building a Linear Regression Model
- Model Performance Evaluation
- Checking Linear Regression Assumptions
- Final Model-Summary