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Regression & Correlation

How variables relate to each other: correlation coefficients, lines of best fit, and linear regression for measuring an association's strength.

Correlation Coefficient (Pearson's r): Formula & Interpretation

How to calculate the Pearson correlation coefficient, how r relates to covariance and Spearman's rank, and what an r value does and doesn't let you conclude.

Correlation Definition: Types & Examples

The correlation definition explained: what positive and negative correlation mean, how to read a correlation table, and how to average several r values.

Correlation vs Causation: The Key Differences

Learn correlation vs causation: why correlation doesn't imply causation, what spurious correlation means, and how scientists establish true cause-and-effect.

Linear Regression Assumptions: What They Are & How to Check

Learn the five linear regression assumptions — linearity, independence, homoscedasticity, normality, no multicollinearity — plus how to test each one.

Linear Regression: Equation, Formula & How It Works

Understand linear regression: the regression equation, slope and intercept formula, and how to fit a least-squares line with a fully worked numeric example.

Multicollinearity & Variance Inflation Factor (VIF) Explained

Learn what multicollinearity is, why it distorts regression results, and how the Variance Inflation Factor (VIF) detects and measures it, with a worked example.

R-Squared Explained: Formula, Meaning & Examples

R squared measures how well a regression line fits your data, from 0 (no fit) to 1 (perfect fit). Learn the formula, a worked example, and adjusted R squared.

Regression to the Mean: Definition & Real-World Examples

Learn what regression to the mean is, how Galton discovered it, the key formula, and real-world examples from sports, medicine, and education.

Simpson's Paradox: Definition, Examples, and Why It Happens

Simpson's paradox occurs when a trend in data subgroups reverses when the groups are combined. Learn what causes it, how to spot it, and real-world examples.