So what you see here is a modest positive correlation.

There must be some single factor that caused.

Is r larger than 0? r 0? Or r smaller than 0?

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

If you think about this for a moment.

Is there any correlation, positive or negative, between intelligence and tendency to be religious?

Let's also look at our outcome variable physical endurance, as a function of active years.

So, the interpretation of this result is. If I go back to the equation.

But if I have some degree of co relation, then my predictions get better to the point where if'X' and'Y' are co related at one, then I can get perfectly accurate prediction.

Or are they negatively correlated?

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

So these are the different variables down at the bottom.

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

Let's just assume that.

Are they positively correlated? Giving money makes you happy.

In fact, when it fits on the line no matter what the steepness of the line is if it isn't flat, if there's a positive relationship no matter how small or how large, it's going to be 1 so this is the correct answer.

And looked at the correlations among their scores in those different disciplines.

And you have also seen examples like this, square symmetric matrices.

And what you see is a nice positive correlation between runs and batting average.4.

In summary, you really learned about correlation coefficients.

Because what the data shows, above all else, is one thing, which is that success and likeability are positively correlated for men and negatively correlated for women.

The more time you've been out of grad school, the more time you've had to publish, so there's a probably a positive correlation there.

Then I would correlations, assuming the null, assuming the null hypothesis, assuming the correlation is zero.

Correlation

TNEF Correlation Key

But just to be clear.

And it's correlated with happiness. And, this is actually true in a lot of studies.

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

And the null hypothesis just says that there's no effect.

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

And here's the output from that script.

It can, it can change the relationship between x and y.

So the important topics to take away from this segment.

Throughout this whole thing, making toys,

You seem like a much more genuine person.

little bit higher on happiness is, or your predicted score would be. They're, they're positively correlated.

That's different from the last lecture where we saw a positive correlation.

Which I haven't really explained yet.

And the answers goes like this the reason being that here we have a clear line.

So this can be applied to a correlational analysis.

Or here contributing to the numerator in the formula.

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.

They're all members of the same organization.

Slight high correlation, or puh, puh, sorry, positive correlation for high SES.

Let me see if you got this.