00:01
All right, for this question, we have, in order for accurate measures of the linear relationship between two variables to be achieved, what type of data are required if using pearson's correlation coefficient? so we're talking about pearson's correlation coefficient again.
00:23
And the question here is what type of data is required? right.
00:28
So let's look at pearson's correlation coefficient.
00:33
So when we look at what is, what does pearson's correlation tell you and what is it? so essentially what it does is it calculates the change of one variable as another variable changes.
00:47
So it looks at the relationship between two variables and how they change based on each other, based on each other.
01:05
So, for example, so in another way to put that is measuring strength between the relationship, sorry, measuring strength of the relationship.
01:26
And most cases is going to be a linear relationship.
01:29
Measuring the strength of a linear relationship between two variables.
01:38
Now, when we talk about linear relationship between two variables, you're going to see that categorically, we're talking about categorical variables.
01:48
They can't really be categorical, sorry, they can't really be classified as a linear relationship, because how do you calculate the linear relationship between two different categories, right? so a and b don't make any sense...