Scatter Chart

Stock Chart

Gantt Chart

Dispersion of the normal distribution

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

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

You spend a certain amount per bed net.

Like masssir, like I'm a slave?

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

Let me ask the hard question now.

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

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

Congratulations! You've finished something really complex.

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

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

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,

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

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

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.

Airplanes.

I've got in my example minus the mean, minus the center, minus the mean of distribution.

Look at the residuals But, what is homoskedasticity?

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

I'm giving you a skeleton program, which has a function update, that takes as an input a mean and a variance for the first distribution and a mean and a variance for the second distribution and outputs the new mean and the new variance of the product of those.

Welcome to our first problem set covering visualization. Let's get started.

The prior has a mean of mu and a variance of sigma squared.

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

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

(Laughter)

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.

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

In a final exercise,

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

Which the particulates that these trails intro have a have introduced into the sky are

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

Here what someone is doing is mixing up chemical in a smoke and basically spreading that through the environment.

They both display a negatively sloping somewhat linear relationship.

What are they used for?

What does that mean. I'll try to describe it in words, but it's best.