00:01
Continuing to work with certain statistical literacy and terms as they relate to regression analysis, here we're going to be working with what the coefficient of determination means and how to find it.
00:12
So here we're given an example where we have a coefficient of correlation, that is our r is equal to .394.
00:19
This is in a situation where y represents the weight of males and x represents the height of males.
00:25
So something like this, it may be written like y is equal to beta 0 plus, beta 1x, where obviously y is our weight and x is our height.
00:41
Now what we found here with a given r where r is equal to 0 .394, that's just telling us whatever correlation we have that exists between weight and height.
00:53
So it's telling us that linear relationship between those two.
00:56
But if we wanted to know by how much how much of the variation in weight is actually explained by height, that's when the coefficient of determination comes in.
01:07
Now the coefficient of determination is just written as r squared.
01:11
That's its notation...