// multi-utility computation suite · offline · instant · precise
┌──────────────────────────┐
│ [c] calcalyst_ │
│ computation suite │
└──────────────────────────┘
// select a module to initialize
/ search↵ open firstesc close
// adsenseEMPTY_LEADER_SLOT728×90
// adsenseMOBILE_ANCHOR_SLOT320×50
// keyboard_shortcuts
/focus search
↑↓navigate module list
Enter
open first result from search
open highlighted
compute when module is open
compute when focused in a field
Escclose module · clear selection
⌫
math.vector-linear-regression Calculator
Calculates the least-squares linear regression line (y = mx + b) from a dataset, with R² correlation coefficient and predicted values. R² of 1.0 is perfect linear fit; below 0.7 suggests a non-linear relationship may fit better.
Inputs
X
Reference formula or conversion factor shown for context.
Y
Reference formula or conversion factor shown for context.
Results
slope (m)
The gradient -- rise divided by run. In finance, rate of change per unit time.
intercept (b)
The y-intercept of the fitted line -- the value when the independent variable is zero.
equation
The value at the specified point or condition.
R²
Reference formula or conversion factor shown for context.
n
Sample size or count used in the calculation.
inverse
Sample size or count used in the calculation.
squared
Reference formula or conversion factor shown for context.