Abbreviation: LinXYReg Y Intercept
Category: Regression
Input Parameters:
| Name | Range | Default |
| X Axis | Close | |
| Y Axis | Close | |
| Regression Periods | Int >= 3 | 40 |
Calculation:
mean(Y) – Slope(X, Y, n) * mean(X)
where
mean(X) = mean average of X over the last n periods
mean(Y) = mean average of Y over the last n periods
X = X Axis
Y = Y Axis
n = Regression Periods
Slope represents Linear XY Regression: Coefficient of Regression (Slope)
Discussion:
Computes the Y value at which the linear regression line crosses the Y axis. Note that the linear regression line is the straight line that provides the best fit to the X and Y points over the last n periods.