And how they can tell us a lot about what's going on in our data.

And Ha ha, there is a picture and here is I. And what does it matter?

So again remember the idea of mediation.

But there is zero correlation between IQ and emotional empathy, feeling with the other person.

In MCMC, that's not true.

Throughout this whole thing, making toys,

The answer is yes clearly for different values of A, I get different values of B.

What about causality?

I think part of that is due to a kind of economic interdependence.

Correlation

I am just gonna pause for a moment to let you think about that.

It's smaller than 0 if the relationship is negative.

We're social animals, not rational animals.

What about the second assumption?

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Unfortunately, it's not, because I would like to be taller, but I'm not.

If you look at that data between axes x and y,

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I would have been less scared of sacrificing the things that are important.

It's 1. Again, 2 18 gives us 36. Square root is 6.

Okay, so to the mediation analysis, as I said, it is typically conductive when we know we have a correlation between x and y.

Though there's plenty who would.

And, I'll show you the correlation matrix in a moment.

In the middle of this distribution. What that means is if I did the study over, and over, and over again.

To sum up this segment, what I want you to take away is just the concept of correlation, what their used for, and how we use scatter plots to evaluate correlations and see where correlations, might be going wrong or where they, where the strength is coming from.

And we want to come up with a correlation between coverage on one side, and outcome of the run on the other side.

The universality, to repeat, is us that we are the city.

Good relationships, bad relationships, annoying relationships, agnostic relationships, and what I'm going to do is focus on the central piece of an interaction that goes on in a relationship.

And now the data sits, a square in which data is uniformly arranged, correlated, yes or no?

So the important topics to take away from this segment.

It's larger than 0. If there's a positive relationship between x and y.

Which I haven't really explained yet.

The reason is we know that r is between 1 and 1 so it can't be 3 or 2.

Now, let's move to the very different looking wall in the Alhambra.

And here it's really easy to see that there is something wrong, but jumping to an incorrect conclusion about causality when you see a correlation is the most often made logical mistake.

If someone, for example, shows you the salary of a person and the age of a person, you can say they're really correlated, or you could say they're not correlated at all.

We are now interdependent.

We forgot about the entire chain around us.

And then in the second segment we'll take a more mathematical approach.

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It has competing dependencies, we could say conflicting dependencies, depending upon who the Lesters are.

If you don't get the policy reform and the aid, you don't get the economic recovery, which is the true exit strategy for the peacekeepers.

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