So we can just plot these points these are specific points on the supply curve.

These are not corresponding points. They correspond to different points on the object.

These points are collinear.

line through these points.

Let's plot these points.

Now, all the points on the frontier these are efficient.

These are the corner points in our data points.

These are hollow points, but not hydroshock hollow points.

You'd better check these points.

These points are not collinear.

That are these 3 points.

We also take these points,

So let's plot these points.

Now, let's plot these points, these different scenarios.

These are just some starting points.

So these are the 2 points.

These are all points on you as a hunter gatherer, on your production possibilities frontier.

So you have these points where analogous or I guess you could say homologous points on two of these chromosomes will cross over each other.

So they're all these points of light on the outside of your cortex.

You see that all of these points seem to sit on a line.

So let's graph some of these points.

So let's graph some of these points.

These 2 points over here are negative.

I may have joined these two points.

line that goes through these two points.

I beat him on points.

Show points on the graph

The highest amount of points possible on reports is 10 points.

So what do all of these points represent?

These are the first 3 points, right here.

So we can graph each of these points.

Let me make these points a little bit.

One of these points might be the bridge.

So let's start at one of these points.

You could figure out what these points are.

And these blast points, too accurate... for Sandpeople.

You see all these points of light behind you.

All of these points, right over here are possible.

And the answer is these 4 points over here.

So these are three mean and normalized data points.

Well, it's equal to 0 at these points, right?

Because these two points are symmetric around the origin.

X1, X2, and so on and each of these points, maybe, has many dimensions, many features.

Here are the basic inference points. Endpoints on edge points and mid points for the middle of any edge.

The fact that these 2 points belong together is likely because there's lots of points in between.