00:01
In this case, they want to know what are the assumptions for a multiple linear regression model.
00:07
So usually there are various assumptions here.
00:11
One is that there is a linear relationship.
00:14
There is a linear relationship between each predictor, each of them, each predictor variable, which are the x's and the response variable.
00:34
So usually you can make an independent diagram, a scatter plot of the response variable with the predictors and see if they, it looks like a linear relationship.
00:46
Or if you want to be more precise, when you do an output of the regression, you check the p values of each slope.
00:56
So that's one way to do it.
00:58
Second, the other thing that we want is that there is no multi -colline.
01:05
We call it...