What things can i do with set of X and Y variables

In summary, the conversation discusses a project involving input of X and Y variables and the implementation of linear and polynomial regression. The person is seeking suggestions for other tasks to be done in Java that are not too complicated and can be completed soon. Some potential ideas mentioned are computing squared errors/correlation, using F-scores for regression coefficients, implementing logistic regression, and creating a normal quantile plot for regression errors. The person also mentions wanting to include distributions in the project.
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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
 
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  • #2
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.
 
  • #3
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.
 

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