Linear Time Regression: Coefficient of Regression (Slope)

Abbreviation: LinTimeReg Slope
Category: Regression

Input Parameters:

Name Range Default
Time Series Close
Regression Periods Int >= 3 10

 
Calculation:

[ n * sum(X*Y) – sum(X) * sum(Y) ]

[ n * sum(X*X) – sum(X) * sum(X) ]

where
sum(X*X) = sum of X*X over the last n periods
sum(X*Y) = sum of X*Y over the last n periods
sum(X) = sum of X over the last n periods
sum(Y) = sum of Y over the last n periods

X = Period Number
Y = Time Series
n = Regression Periods

 
Discussion:

Computes the slope of the linear regression line. Note that the linear regression line is the straight line that provides the best fit to the time series points (y axis) and their corresponding time period (x axis) over the last n periods.
 

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