Linear regression
Linear regression: use x observations, y observations, x value for prediction. Review the formula, worked example and calculation steps.
Inputs
Use the units shown—
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Formula & explanation
ŷ = intercept + slope × x; ordinary least squares
Variables & units
- X observations
- comma separated
- Y observations
- comma separated
- X value for prediction
- Numeric value · minimum -1000000000000, maximum 1000000000000
Worked example
X=1,2,3 and Y=2,4,6 predicts Y=8 at X=4.
Assumptions
Fits one predictor with an intercept; extrapolation beyond the observed range can be unreliable.
Formula version 1.0.0. JavaScript floating-point arithmetic applies. Results display up to 6 decimal places; stored values retain available precision. Use the units shown.
Practice with an example
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