Fit Straight-Line Regression
Fit y=intercept+slope×x and predict y for x wey you fit change.
Your numbers
Slope of the line
Ordinary least squares with intercept. Extrapolation beyond the observed x range fit no reliable.
Compare scenarios
You fit keep up to three snapshots for this tab. Loading one go replace the present inputs.
Formula
Use b = Σ(xᵢ−x̄)(yᵢ−ȳ)/Σ(xᵢ−x̄)² and a = ȳ−bx̄. xᵢ and yᵢ na paired observations, bars mean averages, b na slope, and a na intercept. Prediction for di target wey you enter na a+bx.
Fit y=intercept+slope×x and predict y for x wey you fit change.
Example wey show the calculation
- Observed x values
- 1, 2, 3, 4
- Observed y values
- 2, 4, 5, 4
- x value for prediction
- 5
- Slope of the line
- 0.7
- Point wey line cross y axis
- 2
- y value wey line predict
- 5.5
Where e fit work and limits
Ordinary least squares with intercept. Extrapolation beyond the observed x range fit no reliable.
We check inputs for missing values and allowed ranges. Result wey pass the finite numeric range no go show. Rounding affect wetin display, while calculation use the model numeric precision.
Check your units and assumptions before you rely on result. Changing label no convert currency or physical unit.
Version of di formula: 04164298c724 · Example don get check: