00:01
So you have a set of data, and you have eight data points, and you had the advertising expenditures, and then the sales for eight different months.
00:09
And i put that data into my calculator in list one and list two and did a linear regression.
00:16
And yours actually shows to find it.
00:18
Y equals mx plus b.
00:20
But typically in statistics, we actually use an a plus b x and usually have the slope end up being the b coefficient.
00:28
But i will give it in the form that they gave.
00:32
So our first question is, what is the correlation coefficient? and that is r, and it is 0 .87, and that means there is a positive relationship.
00:44
So as advertising expenditures go up, that means sales also go up, that that's the association.
00:53
It's not necessarily causation, but there is a high association for that.
00:57
And i would say that that is a strong correlation.
01:02
And why is that? because this is relatively, it's close to one.
01:08
And one is a perfect correlation that is positive.
01:12
Negative one is a perfect correlation that has a negative association.
01:16
Now on to part c, we want to give what the linear regression line is...