Calculates the parameters in a multiple linear
regression problem. (The procedure is applicable to functions of the
independent variables, provided that the model remains linear.)
For powers of x (instead of x1,
x2, etc.), supply the powers as new variables
(x1 ≡ x,
x2 ≡ x², etc.).
Base data are from Walpole & Myers [1989, p 408],
whence b = (39.1574, 1.0161, -1.8616, -0.3433). |
• Weisstein, Eric, "Least Squares Fitting."
From MathWorld—A Wolfram Web Resource.
• Walpole, Ronald E.,
Raymond H. Myers, 1989
(1993),
"Probability and statistics for engineers and scientists", 4.th ed.,
Macmillan Publishing Company, New York, NY (USA). ISBN 0-02-424210-1
(hard bound), 0-02-946910-4 (int'l ed.).
• 1601-08-17: Fermat, Pierre de (1665-01-12). |
