But again what's standard errors.

They did much better than 2100. So the distance between.

4.9, 3.6, 2.9, 2.8, 3.1.

No animals have survived, and all the crops are long gone.

I was like, you know, we walk around with all this stuff buzzing around in our heads, and then you throw in the jet lag and the long hours?

It has to do with the fact that in a quadratic version of the error,

That's the residual sums of squares.

And if you can do that, then you can control whose crops survive and whose crops thrive.

My creatures didn't survive.

And when you work this out, you'll find that this is 6 4 c² is the same as 3 2 c².

Then, if I looked at the residuals then at the bottom of the distribution here, I would see big residuals, and if I looked at the top of the distribution, I would see small residuals.

So one fundamental lesson to take away from that simple example is look at your residuals.

Vestiges.

Get our predicted score on y, it's a function of the regression constant plus some predictor times its' slope.

Now, how about the green one? For the green one, we have errors for all six points.

This is where the concept of ordinary lease squar es regression comes in. And the idea is very simple.

Left by a customer.

What's left of him, anyways.

So again, the values of the coefficients are estimated such that the model comes up with optimal predictions.

This is actually in my terminology one to three, but it just lists one two in this output.

Copyrighted

Crops?

The blue one suffers no loss for the three points over here but a fairly substantial loss for the other three data points.

So, the total error for the green one, the quadratic error, is half as big as it is for the blue one and that's a surprise.

Coffeeground emesis.

What the hell are we gonna do with all this?

And now we bring down the five.

Work stops at 50 bar.

It is bad manners to point at people.

Select the point to construct the difference vector in...

So B sub zero again is just the intercept for the slope of the line.

Farmers produce crops.

You missed the cutoff.

I've given you a data set.

The deposit left on the clay creates this beautiful patina over time.

Organisms don't think of CO2 as a poison.

..leftover from the Eugenics Wars.

I still have stuff to carry

I'm sure there will be something good left.

Let's see. Growin' crops

When you plug these things in you can easily verify that these two numbers are correct.

Construct the vector difference of two vectors.

That he or she had been there before us.

For each dot in a scatter plot, if we look at the difference, the distance between the dot and the regression line, that represents the prediction error or the residual.

MAD is the Median Absolute Deviation. .