<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>
Ok, so;
Let me draw the figure here below:
We know that the area of a circle can be found using the next equation:
Area = πr².
Where r is the radius and π is a number.
So, the area of this circle, will be:
Area = π(1km)²
Area = π km²
Answer:
Sheet metal costs <u>$20</u> per square foot.
Step-by-step explanation:
7.6x - 2.3x = 106
We are finding the value of x.
5.3x = 106
Divide both sides by 5.3.
x = 106 ÷ 5.3
x = 20
