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Linear Regression
Calculate linear regression line, R², correlation, and make predictions
ŷ = 11.64
Regression Equation
y = 0.98x + 0.87
R² = 0.9389 · r = 0.9689
Slope (β₁)
0.98
Intercept (β₀)
0.87
R²
0.9389
Correlation (r)
0.9689
About: Linear regression models the relationship between two variables by fitting a linear equation y = β₀ + β₁x. The slope (β₁) indicates the rate of change, R² measures how well the model fits the data (0 to 1), and r is the Pearson correlation coefficient.