00:01
A researcher is interested in differences between sat math scores by biological sex.
00:06
Which method would be most appropriate here? a t -test, multiple regression, two -way and over, or ancova.
00:14
So when are these most useful? let's start with multiple regression.
00:20
Multiple regression is where you have a dependent variable and several independent.
00:29
And you want to know how these are several independent variables affect the dependent.
00:35
Is that the case here? no.
00:38
We have one dependent, the sat scores, and one independent, biological sex.
00:44
So this is inappropriate here.
00:47
We have a single independent and a single dependent.
00:51
Let's look at ancova next.
00:53
Ancova is a blend of anova and regression.
00:57
So it's again looking at multiple independent variables and how the affect the dependent.
01:05
The difference is it allows you to control for covariates.
01:11
So regression, thus controlling covariates...