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pablo26
May27-09, 12:47 PM
Hi i am currently doing a project and I am taking as input a set of X and Y variables.
I have implemented linear regression and polynomial regression (i have a panel of functions)..so i was wondering if anybody could suggest maybe one or two other things i could implement with the x and y data sets that can be done in java and is not too complicated as i have to submit it soon. thanks in advance

mXSCNT
May27-09, 01:09 PM
A note on terminology: you mean you have one variable X, and one variable Y, and a number of values for those variables.

What you might do depends on what your assignment is looking for. Do you compute squared errors/correlation, or F-scores for your regression coefficients? Those are useful. If you want to do entirely different kinds of regression you might try implementing logistic regression (although that might be a little trickier since it is not closed form and must be computed numerically). A normal quantile plot for your regression error is another thing you could do.

pablo26
May27-09, 01:40 PM
Hi well this isn't an assignment but a project that i get to choose what goes but as i am running short on time i don't want anything to heavy. Just some things to make it look more detailed the normal quartile plots is one and i was wondering if there are any distributions that are not too much work that might apply... thanks for your help.