In our last class, we talked about:

We looked at some key ideas in statistics, mainly focused on regression. First, there’s the null hypothesis, which is our starting guess that there’s no major change in error across different factors. Then, we have the p-value, which tells us how confident we are in this guess. If the p-value is very low (usually less than 0.05), it suggests our initial guess might be wrong. Lastly, we discussed the Breusch-Pagan Test, which checks if error changes are tied to specific factors.