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

And here's what you need to know.

Treat their measurement with the thermometer as variable x2.

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

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

Though there's plenty who would.

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

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

But just to be clear.

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

Correlation

TNEF Correlation Key

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

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

So the closer you get to positive one, the stronger you get the negative one, the stronger the correlation.

Except now we're dealing with two variables, right?

Which I haven't really explained yet.

And here's the output from that script.

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

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

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

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

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

So what you see here is a modest positive correlation.

The important topics to take away from segment one is just again, what is a correlation?

He is well advanced in life.

The tools for solving the problems are knowledge and understanding.

So, you might think well, this is just like what we did in correlation.

I could then run a correlation analysis on subset A and subset B.

So this can be applied to a correlational analysis.

Or here contributing to the numerator in the formula.

I work in old age homes, largely.

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.

How do we compute such statistical correlations?

With such connections they have little chance of marrying well, Bingley.

Then we came to the meat of the unit.

So, the first thing you see is the correlation for verbal, verbal memory and the first test with verbal memory and the second test and you have a nice high, strong, positive correlation of 0.69, actually 0.7 if we round up.

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

And now, to sort of revisit the concept or the logic behind null hypothesis significance testing.

How much did they believe in the paranormal, supernatural, angels and so forth.

Not just it coincides with the fact that you die and very frequently people in the public get this wrong.

But again, now that we're in multiple regression, this is not the same as the correlation coefficient.

It's quite possible that the other side got to him.

And, when expressed through the two point correlation function, then the correlation function of visible material, is factor of b squared times the correlation function of the dark matter.

So, final slide, the important topics to take away is...