Hey all,

I'm currently a masters student working on my thesis and just want to double check that I'm on the right track in terms of how to analyze my data.

I have access to GPS units that an athletic team uses and will be using the data from that. It tracks about 90 different metrics altogether, and there is very little research on what metrics are "best" because everything is customizable, so different coaches do different things.

I am looking at how each of these metrics (for example, total distance accumulated) effects an athlete's countermovement jump height the following week.

My understanding is that I would do a correlation matrix to essentially determine what metrics are "interchangeable" or measure the same thing so I can narrow down the number of metrics, then after that I would do a multi-level linear regression to see what metric best predicts jump height the following week.

Do I have that correct?

Any help would be much appreciated given I am currently writing the statistical analysis portion of my methods section.

Hope everyone is doing well and staying healthy!