This is more of a problem solving question rather than programming. I’ll delete this post if it is not appropriate.
I am trying to solve a regression problem. And I looked at scatter plot that is frustrating me.
I can’t see any continuous independent variables which has positive or negative relationship with target variable “perf”.
Is there any models or algorithms that can help this situation?
I would really appreciate with little advices.
I have a few comments here:
I actually see some correlation in those scatter plots. I think
age is negative correlated with
work is positively correlated with
hpc is also probably anticorrelated
Just because they appear to be marginally uncorrelated doesn’t mean that they can’t be correlated after controlling for other variables. This is the point of multiple linear regression - you can find a linear combination of predictors which is much better than any single predictor.
Thanks for replying! I give it a try!