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I think these dinosaurs migrated we call it dispersal around the globe, with the slightest land bridge.

Dispersion of the normal distribution

Now looking at this same data, I'd like to ask you a different question.

You spend a certain amount per bed net.

Like masssir, like I'm a slave?

Let me ask the hard question now.

So here's my first quiz for you on regression.

I can tell you my hand isn't really able to draw 60,000 points.

0 density, 1 distribution

The best way to illustrate this, of course, is just scatter plots, right?

Traveling through hyperspace ain't like dustin' crops, boy!

What I want to do in this video is to generalize it.

Degrees of freedom for the t distribution

And now it becomes a pretty straightforward problem.

luminosity, top right.

You wanna keep them sorta short, 'cause you have to write them repeatedly in the code.

That's largely influenced by the sample size.

People always ask me, you know,

They are spraying the fruit trees.

Now what is going to be the variance?

I guess the thing I haven't said about this is, it is absurdly cheap.

What is the youngest person to earn 267,000 in our data set?

Here is a very elaborate data set of people of certain ages and their wages that they receive.

So now we can plot this normalized quantity.

She'll need to go through and check the frequency distribution of different intervals.

And here are some velocity profiles of elliptical galaxies.

The meeting broke up at once.

T distribution.

Congratulations! You've finished something really complex.

And, I'd like to demonstrate a new graph, scatter plots.

Look at the residuals But, what is homoskedasticity?

Up to this point, I've just been showing you linear relationships, this regression

Actually, in all cases in this particular set, which is not chosen randomly.

Whether this idea is right or some other idea is right,

We'll also look at physical endurance as it relates to activeers.

The amplitude is simply telling you how well aligned you are, it doesn't say anything about lenses.

The central surface brightness versus

But the average is about 50 years old in this sample.

In a final exercise,

My question for you is when you graph this is the data linear.

That's the same as σ 2 over 2, which means a new variance squared is half of the old one.

They both display a negatively sloping somewhat linear relationship.