And this path through the mediator, From x to the mediator,

The mediator is from Pune, India.

A good mediator can make a deal go smoothly.

I am saying we can predict Y from the mediator.

And this 0.22 was 0.28 before adding in the mediator.

How nice. As a mediator, or to stop the bleeding?

Right? Uh, then you wanna make sure that the mediator and

So, as we go from x to the mediator to y, If those events happen over time so that the mediator follows x and the outcome follows the mediator, then again, we're moving towards scenarios where we can make stronger claims or stronger arguments of that causality.

One, just think about what the word mediation or a mediator uh, means.

But X might remain significant even in the face of a significant mediator.

Now, let's add a mediator. This is still in the world of path analysis.

Because the mediator will explain all the variance in Y that X was accounting for.

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From the mediator to y, That's known as the indirect effect on our outcome variable y.

So, what this image depicts is here in the middle uh, a person who is a mediator.

Is we can predict the mediator from X. But to include this entire, sort of path diagram.

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