Least-Squares Regression Calculator
Fit a least-squares line to paired x and y data and calculate R².
Calculator
What this calculator teaches
Least-squares regression finds the line that minimizes the sum of squared vertical residuals between observed and predicted values.
This page is written as an educational calculator: it gives a result, shows the governing formula, and explains how to interpret the answer instead of returning only a number.
Formula & Symbols
| Concept | Formula | Inputs |
|---|---|---|
| Least-Squares Regression | \hat{y}=b_0+b_1x | Lists of x-values and y-values. |
Step-by-Step Example
- Enter the known values from your problem.
- Click Calculate to apply the formula.
- Read the result together with the interpretation notes.
Where students use this
Common Mistakes to Avoid
Check conditions such as units, dimensions, convergence, step size, matrix singularity, or stability before using the result.
Keep extra digits during intermediate work and round only the final answer.
Always connect each variable to the real quantity it represents in your problem.
Frequently Asked Questions
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Formula Explorer connections
Interpretation: This formula summarizes data, models uncertainty or supports inference about a population or random process. Assumption: The sampling design and distribution assumptions must match the data. Independence, sample size, outliers and measurement quality can materially affect interpretation.