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If the statistical data doesn’t match the model’s prediction

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Hello,


As you have noticed i have added SSE (Standard Error of the Estimate) to 
my multiple linear regression 1.01 , it i used for  quality control, you 
have to use the "68-95-99 rule", that is, 68% of the time the predicted 
score will fall plus-or-minus 1 x SSE of the actual score based on the 
regression equation, 95% of the time the predicted score will fall 
plus-or-minus 2 x SSE , and 99% of the time the predicted score will 
fall plus-or-minus 3 x SSE, so if the statistical data doesn’t match the 
model’s prediction, so this will inform us that the statistical data has 
a problem that needs fixing.

My Multiple linear regression program does show the
multiple regression equation that approximate the statistical
data and it calculates and shows the Coefficient of
determination R^2 and it calculates and shows
the Standard Error of the Estimate.

My program can do both simple and multiple linear regression and it's 
fast cause it uses SIMD SSE2 instructions to do matrix operations and 
you have to pay 0$ for it.

You can download my Multiple linear regression 1.01 from:

https://sites.google.com/site/aminer68/multiple-linear-regression



Thank you,
Amine Moulay Ramdane.

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If the statistical data doesn’t match the model’s prediction aminer <aminer@toto.net> - 2014-06-08 01:43 -0700
  Re: If the statistical data doesn’t match the model’s prediction aminer <aminer@toto.net> - 2014-06-08 01:46 -0700

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