Simple linear regression with Python

The Coursera course I am taking this week is dedicated to the Regression Modeling in Practice, Week2 -Basics of Linear Regression. I decided to use The GapMinder dataset and run linear regression models to assess the association between urbanicity and breast cancers rate. Urbanicity is 2008 urban population (% of total). Urban population refers to people living … More Simple linear regression with Python

A look at GapMinder data

Data source: GapMinder data are comprised of global development indicators curated by the Gapminder Foundation. The foundation is a non-profit venture registered in Stockholm, Sweden, aiming at promoting sustainable global development and achievement of the United Nations Millennium Development Goals by increased use and understanding of statistics and other information about social, economic and environmental … More A look at GapMinder data

Exploring Statistical Interactions with Python

In the previous post, I analyzed the correlation between 3 development indicators (income per person, life expectancy, policy score, and urban rate) and HIV rate. I found that there was a linear negative association between urban rate and HIV rate (Correlation coefficient = -0.276, p-value = 0.001). This time, I am interested in assessing the … More Exploring Statistical Interactions with Python