Regression Calculator
Perform linear regression analysis: enter paired data, get slope, intercept, R², correlation, and make predictions. Visualize with scatter plot and trend line.
Step 1: Enter Data
📊 Linear regression
Enter at least two paired numeric values. The calculator finds the best‑fit line Y = a + bX using the least squares method. Outliers may influence results.
Step 2: Options & Prediction
🔍 Prediction
After calculating, use the prediction field to estimate Y for a given X based on the regression line.
Regression Results
Summary
Data Table
Prediction
Regression Equation
Y = 2.200 + 0.600 X
R² = 0.514 | r = 0.717
Slope (b)
0.600
Intercept (a)
2.200
R² (Coefficient of determination)
0.514
Correlation (r)
0.717
Data Points
| X | Y | Predicted Y | Residual |
|---|
Prediction
Predicted Y
5.800
Confidence (approximate)
Prediction based on linear regression. Uncertainty increases for X values far from the mean.
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