Correlation & Regression are the two crucial techniques for investigating the relationships between two variables. Correlation determines whether the variables have a linear relationship, and regression determines the cause and effect between the variables.
This course will explore Correlation & Regression and how to use them to measure the relationship between two or more quantifiable elements. You’ll start from the basics and go all the way to the complex aspects of applying this statistical technique.
What you’ll learn
The concept of Correlation.
Defining the Correlation Coefficient.
How to use Simple Linear Regression to model and predict the behavior of a process.