From the course: Python for Data Science and Machine Learning Essential Training Part 1

Unlock the full course today

Join today to access over 24,600 courses taught by industry experts.

Pearson correlation analysis

Pearson correlation analysis - Python Tutorial

From the course: Python for Data Science and Machine Learning Essential Training Part 1

Start my 1-month free trial Buy for my team

Pearson correlation analysis

“

- [Instructor] Let's talk about parametric correlation analysis. Parametric correlation analysis is a method you can use to find correlation between linearly related continuous numeric variables. Don't worry if you don't exactly understand what that means because I'm going to show you how to figure this out in just a minute. First, I want to explain one important point about correlation. Correlation does not imply causation. Let me explain. Imagine you're a doctor studying regional obesity trends. You have two data sets: One on store size reported by zip code, and two on national obesity prevalence broken down by zip codes. In the course of your investigation, you apply the Pearson correlation method, that's the method I'm about to show you, and you find that there's a very strong positive correlation between grocery store size and obesity. The bigger the grocery stores, the more obesity there tends to be. Of course, the size of the store doesn't cause obesity, but they're correlated,…

Contents