My hump contains up to 80 lbs. of fat, but doesn't store H2O.

And what we see for age is the opposite.

It senses what I want to do, where I want to go, and then augments my strength and endurance.

We'll see when we look at the descriptive statistics.

But it is negative. So as people age, their physical endurance scores drop.

Allowed us to do is move from unstandardized to standardized regression coefficients.

And I call that active years.

The first thing I'm gonna do in this script is look at some scatter plots.

So this is now the slope of endurance relating, excuse me, the slope of active years relating to endurance for someone of an average age in this sample.

So sort of an arbitrary scale.

And there're only three variables in there.

God, just because you lost your hardon doesn't mean you have to have a fucking meltdown.

If you have more than one predictor in the model, that won't hold. But with one it is.

So the model r squared is the same as in the last segment.

So for an average amount of active years. And that's why it got a little steeper and shallower.

What would you say?

So now the regression constant is zero.

But if your engaged in physical activity for more years.

Okay but we're gonna skip all that today and just jump into the scatter parts.

So if we look at this scatter plot, we see a positive slope, positive regression line, and it's a bit steeper than the previous function.

So, I, I like this example. And it's pretty intuitive.

So this first scatter plot is looking at endurance, related to age.

Again, that's .13.

That's, important to remember. So, now let's do the simple regression using active years to predict endurance.

Well think about the example.

Is negative, but it's very slight. It doesn't have a very, steep slope.

Is that. Putting these two, predictors together.

So, 33.16 is just the intercept in this analysis and'negative point 13' is the slope of the line relating age to endurance.

Sport.

You don't know my feelings.

Within these walls we will outlast them.

So, we're doing a lot better with this model, because the correlation between active years and, endurance, is much stronger than was the correlation between age and endurance.

Hey, Sport.

You play?

I have four brothers.

I don't have the stamina needed to play sports like Tennis.

Now the Americans in the audience will know all about cup stacking.

Strong.

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.

Masataka Gouda held 3 title terms.

For cheap thrills. Such shortlived durability, Mr. Shlubb.

News and sports is in 25.

Say, Sport!

Sports page.

I don't like what I'm doing, Sport.