Regression Analysis Calculator

Perform linear regression analysis on a set of data points. Calculates the slope, intercept, R-squared, and provides predictions.

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How to use this tool?

How to Use the Linear Regression Calculator

  1. Enter data points in the "Data Points" text area. Each point should be on a new line, with x and y values separated by a comma or space (e.g., 1,2 then 2,4). You need at least two points.
  2. Optional: Predict a value by entering an x value in the "Predict for x =" field. If left blank, no prediction will be shown.
  3. Click "Calculate Regression" to compute the results.
  4. Review the outputs:
    • Slope (b) and Intercept (a) define the regression line: y = bx + a.
    • R-squared indicates how well the line fits the data (1 = perfect fit).
    • Predicted y shows the estimated y for your entered x value.

Note: All values must be numeric. Use decimal points (e.g., 1.5) if needed. The calculator works with any numeric data, no specific units required.

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Frequently Asked Questions

Linear regression is a statistical method to model the relationship between a dependent variable (y) and an independent variable (x) by fitting a linear equation y = a + bx.

Enter each data point on a new line, with x and y separated by a comma or space. For example: 1,2 then 2,4 then 3,6.

R-squared measures how well the regression line fits the data. It ranges from 0 to 1, with higher values indicating a better fit.

Reviewed by Experts

Eurico José Kiala

Eurico José Kiala

Mathematician

Teacher

LinkedIn
João Lino

João Lino

Mathematician

LinkedIn
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