00:01
David's landscaping has collected data on home values in thousands of dollars and expenditures in thousands of money on landscaping with the hope of developing a predictive model to help marketing to potentially, to potential new clients.
00:18
Data for 14 ,000 households can be found in the file.
00:23
So we'll start with a here, develop a scatter diagram with the home value as independent variable.
00:29
So home value is the independent variable.
00:31
So we're going to get rid of this one because it has landscaping and this one because it has landscaping.
00:36
Then we have to take a look and see which scatter plot it is.
00:43
Is it going to be a negative association or a positive association? and so what we can do is we can check at 800.
00:52
It is at 23, approximately 23.
00:57
And at 800 here, it's at about six.
01:01
So if i find 800, it's at 23 .5.
01:04
So you are correct.
01:06
This one is your scatter plot.
01:09
B, what does a scatter plot develop in part a indicate about the relationship between the two variables? so you are right again when you picked.
01:19
The scatter diagram indicates a positive linear relationship between home value and landscaping expenditures.
01:27
As you can see that this definitely does give way to.
01:31
A positive trend in the data...