#How to use: You need to download the THECSObesity1.csv and the colab file(ipynb). You can run the colab file using Google Colab. You need to upload the CSV to your current Google Colab runtime. You can also just view the ipynb file here on Github, and the output would be shown. The output should be a series of visualizations with their analysis, as well as the predictions of my multiple linear regression model.

#Summary of Project: I believe that lower socioeconomic status and poorer conditions would lead to a higher rate of obesity within the United States. I also believe that average obesity rates have increased in each state over the past few years. I aim to measure socioeconomic status by using the average income level in each state which would be one of our independent variables. Another independent variable would be education attainment by state based on receiving a bachelors or higher, as it would be a predictor for a higher average socioeconomic status. The third variable to measure socioeconomic status would be median home value in each state. For this project, I used Google Colab and Python modules for data visualization and Multiple Linear Regression modeling. I then used statistical methods of analysis to prove my hypothesis and test the results of my model.