This project aims to build a predictive model using multiple linear regression to examine the relationship between a dependent variable and two independent variables. One of the independent variables is used as is, while the other undergoes a logarithmic transformation.

The analysis involves estimating the coefficients for these variables and evaluating the model's performance. A train-test approach is applied to validate the model and ensure its accuracy for future predictions. The main objective is to understand the impact of the independent variables on the dependent variable and to develop a model that can be used for reliable predictions.

In this project was used R-Studio for cleaning and analysis of the data. R- Markdown and PowerPoint to present all the data and insights from the data-set.

All the codes and more analysis are in my GitHub Repository:

https://github.com/Neemias-tech/GoogleCapstoneCertificateDataAnalisysProject