Wow, this is an older post, but I will respond for other people that have the same question.
I agree with what AdamO said about using regression. When you are comparing a, I assume, dependent (response) and independent (explanatory) variables, being able to regress them makes it much easier to see what the relations are! Using Chi-Square wouldn't really be all that useful for this example, since you are wanting to see the relationship. Same could be said with Pearson. Whenever you are wanting to test the relationship, it's always the better idea to regress the data. From there, you could determine such things as log-likelihoods, residuals, and many other things (as needed, of course.)
Most people know this already, but probably the best tool to run regression analysis is by using R/RStudio. You can get a visual representation of data, and it is a bit easier to use than excel in my own opinion.