It's just lm (y tilde x). So lm outcome variable tilde predictor variable.

That's what this tilde thing means.

Note that a not equal sign is this tilde equals symbol.

That's this little tilde as distributed as and then to denote the Gaussian Distribution, sometimes you're going to write script n, parentheses

If the probability distribution of x is Gaussian, it would mean Mu and variant sigma squared, then we'll write this as x the random variable tilde.

So the first thing I'm doing is running a simple regression, predicting endurance from age, again, the function to, to run this is LM for linear model, and it's simply LM y tilde x.