Advanced Placement Statistics covering data analysis, probability, and statistical inference.
Sometimes, two variables change together. Correlation measures how strongly they're connected, while regression lets us predict one variable from another.
Regression finds the line of best fit through a scatterplot, allowing you to predict values. The most common is linear regression:
\[ y = mx + b \]
Correlation and regression are used in economics, health care, marketing, and more to predict trends and make decisions.
A scientist finds a positive correlation between hours studied and test scores.
A business uses regression to estimate future sales based on advertising spending.
Discover how variables can be related and how to predict one from another.