Or are they negatively correlated?

So, here's an example where things are correlated.

Are they positively correlated? Giving money makes you happy.

This one's about correlated parameters.

I've really shown you is that these two things are correlated.

On this map, green will mean they're positively correlated and red means they're negatively correlated.

Guilt, inversely correlated with those things.

Now, that doesn't mean that these individual predictors are correlated that strongly, alright?

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 big question though is, are the scores correlated from time one to time two.

And it turns out that those are correlated with super massive black holes as well.

Also be correlated with who's concussed and who's not.

Because, as the World Economic Forum noted, smaller gender gaps are directly correlated with increased economic competitiveness.

That means whether you die or not is correlated to whether or not you are in a hospital.

So we may look at one sample and see that two variables are correlated, but is that reliable.

So are the measures, are these scores in column one, are they correlated with these scores in column two and so on with column three.

Um, extroversion and happiness, they're positively correlated. Diversity of life experience.

Then, we can just run the correlation analysis to see if the baseline course are correlated with the retest course.

So, time since the PhD is probably correlated with number of publications, right?

So, it's important to know that if the predictors themselves are not correlated, then it won't matter how you run the regression.

lectures back that if X and Y are correlated then we can predict Y from X and here's the simple regression equation.

And they might be correlated with some of our outcome measures, our dependent variables.

Shame is highly, highly correlated with addiction, depression, violence, aggression, bullying, suicide, eating disorders.

The weather disasters seem to be directly correlated to an increase in Monsanto's sales.

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.

And if the two variables are positively correlated, then mostly likely if you're above average on one, you're above average on the other.

So, this test that we've developed of, of vocabulary knowledge or verbal ability should be, less correlated or not correlated at all with, other types of abilities or skills that children may exhibit.

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

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

Meaning, the predictors are correlated, so x1 and x3 have a little bit of overlap, and x2 and x3 have a little bit of overlap.

If, if X and Y are correlated because of the mediator, as I've said here on the slide. Then. X should no longer be significant.

If your predictors aren't correlated, if they're orthogonal to one another, then, these different approaches won't matter.

Statistically, what we'll do is, we will look at two variables that may be correlated, let's say.

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

If you know from statistical debugging that some feature is correlated with the failure, go for it.

And what was interesting was that the change in Grey matter was correlated with the change in stress.

So, let me ask a question is the number of the firefighters correlated with the size of the fire?

Uh, so your, those would possibly be correlated and that in turn would cause you to be more happy.

And that's because the brain is constructing representations of things that are correlated in little moments of time and that relate to one another in little moments of successive time.

It turns out that, that type of model doesn't work very well because those second order factors, are correlated themselves, so you still need to incorporate this idea of a general factor.

That little tag can record temperature, depth and light intensity, which is correlated with time, and from that we can get locations.

This test should be, correlated to a lesser degree with tests of spacial reasoning than it is, with a test of reading comprehension.

I mentioned the properties of clusters correlated with each other and whats shown here is plot of mass infered from varial arguments versus temperature.

It was tried only in small classes, but there it showed, for example, that these student assigned grades on the y axis are actually very well correlated with the teacher assigned grade on the x axis.

Moderator can say nope it's not correlated under my roof. Or he can say hey I'm gonna enhance that correlation, I think it's really important.