<span>Linear regression is a method of finding the linear equation that comes closest to fitting a collection of data points.
</span>The better the choice of line, the closer the predicted values will be to the observed values.
The differences between the data pints (observed values) and the estimated (pedicted) regression line is called the <span>residue.
</span>Residue = Observed Value -<span> Predicted Value</span>
Answer:
72000
Step-by-step explanation:
Multiply 120,000 by 0.6 OR multiply 120,000 by 0.4 and subtract 120,000 by the product.
Both equal 72,000
Hope this helps my fellow mike winsowski memer
-Scorpio
we must do the following:
0
1
2
3
4
5
6
7
8
9
select the major, the minor and the half and add, like this:
therefore:
also:
the groups are:
(9,0,1,5); (7,6,2); (8,4,3)
Answer: 48 feet
Step-by-step explanation:
