After all, there's a strong correlation between water and fishing, and for some, there's a strong correlation between fishing and beer.

So, this is a strong positive correlation between working memory capacity and, and

So, you might think, you know, there's a strong correlation between X and Y.

So, I don't really observe a very strong correlation between these, variables, here at Princeton.

That's because there's not a very strong correlation between age, and, endurance in this sample.

I don't see that strong positive correlation at Princeton.

What do you need for a strong, positive correlation?

And what we see is a nice moderate to strong positive correlation between working memory capacity and SAT.

And there's a correlation between unemployment and home ownership.

Clearly the test has a strong correlation to whether I have cancer.

Four minus zero divided by 4 is precisely 1, which means that we do have a strong correlation between failure and coverage.

So that's just the correlation between age and endurance, .13.

We, will assume there's no correlation between x and y.

What we want instead is a correlation between 2 binary values.

And what's the correlation between runs scored and on base percentage?

Correlation

There is a strong bond between the brothers.

So say we observe a correlation of like.7, which was the correlation between on base percentage and runs scored.

We found absolutely no correlation, no impact whatsoever, between these two variables.

But the correlation here, isn't that strong, and its actually not consistent with prior research.

So, we're doing a lot better with this model, because the correlation between active years and, endurance, is much stronger than was the correlation between age and endurance.

There is a strong bond of affection between them.

As you see, there's a high correlation between temperature, CO2 and sea level.

This is progress, Pepper. I knew there was correlation between you and this...

Again, we're not 100 sure that's the right answer, but it looks like a strong correlation.

Okay, so. A correlation, this simply defining correlation.

The linearity is very strong between child survival and money.

We could use matrix algebra to calculate. The correlation coefficient between these three measures.

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

TNEF Correlation Key

That's called correlation.

Was there a very strong attraction between them, do you think?

And the regression coefficient for active years is the correlation between active years and endurance.

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

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

And it's standardized so that the correlation coefficient falls between positive one and negative one.

I think there is certainly a correlation between adjacent particles in the selection of particles.

So in the context of correlation and regression, you would say, well I'm just going to assume that the correlation between X and Y is zero.

Just run the correlation between X1 and X2, and that provides you with a reliability estimate.

And a final really interesting study it's been shown, a correlation between play and brain size.

Specifically the correlation analysis.

So if the correlation between SAT and college GPA, or performance in college, is strong as long as it's not 1.0, that means for any one individual, they could buck that trend.

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

Now let's look at the relationship between correlation and regression as we make changes to our data.

Remember from the lecture on correlation, then, that represents the covariance or correlation.