Library "regress" produces the slope (beta), y-intercept (alpha) and coefficient of determination for a linear regression
regress(x, y, len) regress: computes alpha, beta, and r^2 for a linear regression of y on x Parameters: x: the explaining (independent) variable y: the dependent variable len: use the most recent "len" values of x and y Returns: [ alpha, beta, r2 ]: alpha is the x-intercept, beta is the slope, an r2 is the coefficient of determination
Note: the chart does not show anything, use the return values to compute model values in your own application, if you wish.