// multi-utility computation suite · offline · instant · precise
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math.regression-line Calculator
Computes the least-squares regression line y = mx + b from two-variable data and shows the prediction at any x value. The regression line minimises the sum of squared vertical distances from data points to the line — the 'least squares' criterion.
Inputs
X1
Reference formula or conversion factor shown for context.
Y1
Reference formula or conversion factor shown for context.
X2
Reference formula or conversion factor shown for context.
X3
Reference formula or conversion factor shown for context.
Results
slope (rise/run)
The gradient -- rise divided by run. In finance, rate of change per unit time.
y at x=
The value at the specified point or condition.
x-intercept
The y-intercept of the fitted line -- the value when the independent variable is zero.
y-intercept
The y-intercept of the fitted line -- the value when the independent variable is zero.
line equation
The value at the specified point or condition.
note
Supplementary information explaining an assumption, caveat, or important context for interpreting the result.