Linear Regression Analysis: Predicting Sales with TV Advertising
This repository contains files related to the analysis and modeling of the relationship between TV advertising and sales using a simple linear regression model. The analysis utilizes the advertising dataset to build a linear regression model aimed at predicting Sales based on an appropriate predictor variable.
Project Objective:
- To build a linear regression model to predict Sales using an appropriate predictor variable.
- To analyze the relationship between 'TV advertising' and 'sales' using a simple linear regression model.
Dataset:
The advertising dataset, which includes variables related to advertising budgets and sales figures.
Key Components:
Code: Scripts for data preprocessing, analysis, and model building.
Data: The advertising dataset used for the analysis.
Documentation: Detailed explanation of the steps