00:01
So in this question, we have the correlation coefficient, which is usually denoted by little r, or is not r, is 0 .45.
00:10
So we want to answer what is the proportion of variance that one variable, in one variable that is like associated with the other variable.
00:19
So basically, what we need to compute is in this case the coefficients of the termination, which is usually computed for a regression model.
00:30
So basically, this here is the same as the square of little r, which is our correlation coefficient.
00:37
So this means that i should just compute this, which is going to give us, and this is usually given percentage.
00:45
So we should write this as a percentage.
00:47
So in that way, i can say that 20 .25 % of the variance in one variable is associated or explained by the other variable.
00:57
Okay.
00:59
Now, for the second, this is the first item.
01:02
For the second item that we have in this question, we are saying that if playing video games and aggression are correlated, so video games here and aggression here.
01:15
So we are saying that they are correlated.
01:17
What are the three possible directions of causality that might explain this correlation? so basically, if i know that they are correlated, we could like, and because we have talk about causality now.
01:31
We could have that video game is causing the aggression or aggression is causing video game, playing video games.
01:43
Or we can have that that is another variable that i'm going to write as why that could be causing both of them that we don't know...