Linear Regression Calculator
Calculate slope, intercept, correlation, and R² for a paired dataset.
The linear regression equation is y = 0.8000x + 1.8000.
For the 5 paired coordinates, the slope is 0.8000 and the y-intercept is 1.8000. R² of 0.7273 indicates that 72.7% of the variance is explained by X.
How to Use the Linear Regression Calculator
Map linear trends and calculate standard regression parameters on your paired datasets.
- X Values (comma-separated): Bounded parameter in the mathematical model.
- Y Values (comma-separated): Bounded parameter in the mathematical model.
Linear Regression: Fitting Trends to Paired Datasets
Learn how to compute slopes, y-intercepts, Pearson correlation coefficients, and R-squared values for paired variable regression.
Read Full Guide →What does R-squared indicate?
R² (Coefficient of Determination) represents the proportion of variance in Y explained by the linear model of X.
Calculate the mean, variance, and standard deviation of a data set for both population and sample datasets.
Mean, Median & Mode CalculatorCalculate the mean (average), median (middle value), mode (most frequent value), and range of any data set.
Z-Score CalculatorCalculate the z-score (standard score) of a raw value, given the population mean and standard deviation. Includes probability percentile lookup.
Confidence Interval CalculatorCalculate the confidence interval for a sample mean with standard deviation and size bounds.