Or are they negatively correlated?

Are they positively correlated? Giving money makes you happy.

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

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.

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.

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

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

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.

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

They are what they are.

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

They are ideals that are powerful. They are irreducible. They are unique.

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

They are tender. They are nice.

They are coming! They are coming!

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.

Are they stochastic? Are they partially observable?

How are they organized? Are they isolated?

Are they nightmares, or are they memories?

Baku, they are coming! They are coming!

They are everywhere They are not everywhere

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.

They are poor, but they are intensely urban. And they are intensely creative.

They are.

Are they?

They are.

They are.

Are they?

Are they...

Are they...?

Are they?

They are.

They are