Correlation
Measure and interpret relationships between variables
Start with the basics and progress through 2 lessons. Each lesson builds on the previous one.
0 of 2 lessons done
Test Your Knowledge
10 questions, new mix each time (from 31)
In This Topic (2 lessons)
Introduction to Correlation
Learn how to identify and interpret relationships between two variables using correlation.
Correlation Coefficient
Learn how to measure the strength and direction of a linear relationship between two variables using the correlation coefficient r.
Correlation measures the strength and direction of a relationship between two variables. Understanding correlation, its limitations, and the difference from causation is essential for data interpretation.
What You'll Learn
- Calculate correlation coefficient
- Interpret correlation strength and direction
- Distinguish correlation from causation
- Identify outlier effects on correlation
- Apply to real-world data
Frequently Asked Questions
What is the correlation coefficient?
A number from -1 to +1 measuring linear relationship strength. ±1 is perfect, 0 is no correlation.
What does correlation vs causation mean?
Correlation shows two variables move together; it does NOT mean one causes the other.
What affects correlation?
Outliers, non-linear relationships, and restricted ranges can all distort correlation measurements.