Technically linear regression can be implemented in one line of code assuming a good linear algebra package: http://code.google.com/p/fin2py/source/browse/numeric.py#791 (here used for fitting polynomials or any other bivariate or multivariate function linear in coefficients) Unless python is going to have a built-in linear algebra packages, I think linear regressions fits better in scipy. Massimo On Sep 12, 2011, at 9:35 PM, Stephen J. Turnbull wrote:
Steven D'Aprano writes:
I propose adding a basic calculator statistics module to the standard library, similar to the sorts of functions you would get on a scientific calculator:
mean (average) variance (population and sample) standard deviation (population and sample) correlation coefficient
+1 for these.
and similar.
I'm not sure about that. I immediately thought "how about bivariate linear regression?", but that's actually misleading in many cases. Doing anything more general is beyond the scope of "like a typical scientific/statistical hand calculator".
On the other hand, well-commented code showing how to do the bivariate case would help people to implement more general cases. Ditto for other common tasks like chi-square tests.
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