When you’re predicting how much a variable changes over time using a regression, do you tend to add the baseline value of that variable as a predictor to control for it? If you do, you can end up with misleading results.  For example, if you’re trying to predict change in anxiety in 2025 vs. last year (anxiety in 2025 - anxiety in 2024), you’ll get misleading results if you enter anxiety in 2024 as one of the predictor variables. If this sounds counterintuitive to you, read on. I’m inte...