Step-by-step explanation:
Regression analysis is used to infer about the relationship between two or more variables.
The line of best fit is a straight line representing the regression equation on a scatter plot. The may pass through either some point or all points or none of the points.
<u>Method 1:</u>
Using regression analysis the line of best fit is: 
Here <em>α </em>= intercept, <em>β</em> = slope and <em>e</em> = error.
The formula to compute the intercept is:

Here<em> </em>
and
are mean of the <em>y</em> and <em>x</em> values respectively.

The formula to compute the slope is:

And the formula to compute the error is:

<u>Method 2:</u>
The regression line can be determined using the descriptive statistics mean, standard deviation and correlation.
The equation of the line of best fit is:

Here <em>r</em> = correlation coefficient = 
and
are standard deviation of <em>x</em> and <em>y</em> respectively.

The answers should be the last 2
Answer:
Answers is C (x)=3.50 {x+3600/x} -_-
Step-by-step explanation:
Answer:
54
Step-by-step explanation:
The two angles add to 90 degrees since they are complementary
the ratio is 3:2
Multiply by x
3x:2x
Add them together and set equal to 90
3x+2x=90
5x=90
Divide each side by 5
5x/5 = 90/5
x = 18
The first angle is 3*18 = 54
The second angle is 2*18 = 36