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