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Linear Regression Prediction Calculator

Predict a Y value from a fitted unweighted line and a chosen X value.

Your numbers

Free calculator
YOUR RESULT
9

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When to use this calculator

Predict a Y value from a fitted unweighted line and a chosen X value. A fitted value is not a prediction interval. Extrapolating beyond observed X values adds uncertainty.

Explore the regression & paired data calculators for other questions in this topic. For a related calculation, use the Linear Regression Slope Calculator: Find the ordinary-least-squares slope for Y on X.

PUTTING IT INTO PRACTICE

Linear Regression Prediction: a worked example

The values below are an illustrative example, not a recommendation. Replace them with measurements or assumptions that match your question.

Example inputs and calculated result
InputExample value
Observed X values1,2,3
Observed Y values3,5,7
X value for prediction4
Result9
  1. Check the input labels and enter the example values above.
  2. Apply the relationship: Predicted Y = fitted intercept + fitted slope × target X..
  3. The result is 9 , rounded for display.

How to interpret your result

A fitted value is not a prediction interval. Extrapolating beyond observed X values adds uncertainty.

Pair observations in the same order and use equally long lists. A least-squares line describes a linear association; it does not establish causation or guarantee future values. Outliers and extrapolation can strongly affect interpretation.

A useful next step is the Weighted Percentage Calculator: Combine two percentages using their actual group sizes.

Frequently asked questions

Can a high correlation prove that one variable causes the other?

No. Association can arise through confounding, selection, coincidence or a causal relationship. Correlation alone does not identify which explanation applies.

When is the linear regression prediction calculator useful?

Predict a Y value from a fitted unweighted line and a chosen X value. A fitted value is not a prediction interval. Extrapolating beyond observed X values adds uncertainty.

How do I use the linear regression prediction calculator?

Enter observed x values, observed y values, x value for prediction. The result updates automatically. Use the units shown beside each input; the example values illustrate the method.

Which formula does this calculator use?

Predicted Y = fitted intercept + fitted slope × target X..

What should I check before using the result?

A fitted value is not a prediction interval. Extrapolating beyond observed X values adds uncertainty.

How are results rounded?

Scalar numbers display up to six decimal places, with scientific notation for very large or small values. Text, fraction, date and schedule outputs use the format described on the tool. Intermediate calculations use JavaScript floating-point arithmetic. Keep sensible precision for your measurements.

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