00:01
Welcome.
00:02
Today we are here to learn the definition of the coefficient of determination.
00:09
The coefficient of determination is denoted as r squared and it is equal to the quotient of explained variation, explained variation over total variation.
00:28
Total variation.
00:29
Essentially, the coefficient of determination measures the proportion of variation in the dependent variable that can be attributed to the variation in the independent variable.
00:42
In simple language, the value of r squared tells you how much of the total variation is explained variation.
00:51
That's why it's a fraction.
00:52
It tells you how much of the total variation is the explained variation.
00:57
You likely already know what the correlation coefficient is, but i'd like to give a short review of it.
01:05
The correlation coefficient, so the correlation coefficient r, is a measure of how strong the relationship is between the independent and dependent variables.
01:16
As you can probably deduce, because we have an r and an r squared, the coefficient of determination is just the square of the correlation coefficient.
01:27
So r squared is just that.
01:31
R squared is equal to the square, square of r...