Scatter Chart

Stock Chart

Gantt Chart

And the way you get it is with the cumulative distribution function.

Dispersion of the normal distribution

You spend a certain amount per bed net.

Like masssir, like I'm a slave?

(Which was very likely true.)

Down, down, down!

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.

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.

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.

Up and down in a second. Up, down, up, down...

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

Down

Down.

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

Touchdown! The Fighting Frogs have won.

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

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

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

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

In a final exercise,

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

Charlie Michael? Michael

Man down.

Stay down!

Sensors are down.

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.

What are they used for?