Your dad was right about the carnival.

(Circus music) Ted N' Ed's Carnival

I appreciate you calling.

You know what's near there?

Let's not forget about the carnival.

And now it's me.

Sort of a busman's holiday, huh?

And so too, has Richard Kimble.

You also have a rotation matrix that will rotate the model or anything else around the y axis.

And so on this slide, you know this matrix is the matrix A, and this matrix is the matrix A inverse.

Yeah, c'mon, Tiana, you could use a little hand. It's Mardi Gras.

I sleep a bit, okay?

learned from Wikipedia, the correct term is the adjugate of matrix a.

So the inverse of matrix a is equal to 1 over the determinant of a times the adjugate, or adjoint, of matrix a.

So this is one that they found, they called the Knife, the Carnival, the Boston Shuffler,

( melancholy theme playing ) ( bells clanging ) NARRATOR

The carnival is closed, samuel.

He's willing to turn himself over

I think you see the pattern.

They think it's music, but it's a terrible noise.

This just means my

It's the determinant.

So the matrix A is a m by n dimensional matrix, so m rows and n columns and we are going to multiply that by a n by 1 matrix, in other words an n dimensional vector.

So A is a three by two matrix and features

We go back to plus.

It's just a little tedious.

We are almost done.

In order to get, what

What's the line for?

We have all the paperwork ready to sign, for this thing at Mardi Gras .

Did I ever tell you the first carnival act

Just to say that again.

So for each predictor, we're gonna have one beta or one regression coefficient.

I got a 2 by 2 matrix.

Let's calculate B inverse.

Paul was walking me home, Uncle Harry, and we stopped at the carnival.

Matrix

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So B inverse is going to be equal to 1 over the determinant of B.

The inverse is shown like this a negative 1 in the superscript.

Now we're doing it in matrix form.

Modelling transforms.

They call these ragbag shows. It's the lowest form of carny.

First matrix

And if you do that, the result is pretty much what you'll expect.