I have a dataset like this:scatterplot and I want to find out if there is a relationship between the two variables (x-axis and y-axis).
The r-value from applying linear regression is -0.221618778230968. After removing outliers, I've gotten it up to a point of -.23 but it doesn't seem like enough evidence to prove a relationship.
I want to either prove that the two variables are not related or are somewhat related. Even a solid conclusion that "I cannot prove anything" is good enough. I don't think I've tried everything I can because I don't know what there is out there that I can try.
What I've tried:
- I've read about how I can use p-values to reject/fail to reject a null hypothesis. I got stuck after getting the z-scores of each variable value- I'm not sure what to do from there.
- I've also tried applying the ACE algorithm (Alternating Conditional Expectation Algorithm) to the points to find some kind of transform. It didn't work- my dataset is too sparse for this.
- I've tried randomly
square(x)andlog(x)the values to find a correlation. I'm not sure if this is what I should be doing.
Are there any suggestions as to where I can go from here?