Regression
Find lines of best fit and make predictions from data
Start with the basics and progress through 2 lessons. Each lesson builds on the previous one.
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10 questions, new mix each time (from 32)
In This Topic (2 lessons)
Introduction to Regression
Learn how to find the best-fitting line through data points and make predictions using linear regression.
Linear Regression
Learn how to find the line of best fit for data and use it to make predictions.
Regression analysis finds relationships between variables. Linear regression fits a line to data points, allowing predictions. Understanding regression helps in science, economics, and data analysis.
What You'll Learn
- Calculate the line of best fit
- Interpret slope and y-intercept
- Make predictions using regression
- Evaluate model fit with r-squared
- Understand residuals
Frequently Asked Questions
What is the line of best fit?
The line that minimizes the sum of squared distances from each point to the line. Also called the regression line.
What does r-squared tell us?
R-squared (0 to 1) shows what fraction of variation in y is explained by x. Higher is better fit.
What are residuals?
The difference between actual y-values and predicted y-values. We want residuals to be small and random.