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Regression in Maple

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Regression in Maple.

The following was implemented in Maple by Marcus Davidsson (2011)

davidsson_marcus@hotmail.com

I have always thought that regressions has been too complicated in Maple.

The Fit command is too fiddly ie you have to specify too many things and it is easy to get it wrong

plus the statistical output you get is far from mainstream ie you dont get

t-values, p-values, R, R^2, Adj R^2 etc etc.

I have therefore designed a new procedure called which only needs one input

and that is a datamatrix. It is important however that the first row in the datamatrix contains

the variable names otherwise it wont work and that the first column contains the y-variable.

We can show the working as follows:

restart; Data1 := Matrix([[AY, AX1, AX2], [1, 1, 1], [2, 2, 8], [2, 3, 27], [2, 4, 64], [3, 5, 125]]); Data2 := Matrix([[AY, AX1, AX2, AX3], [1, 1, 1, 2], [2, 2, 8, 3], [2, 3, 27, 6], [2, 4, 64, 2], [3, 5, 125, 8]])