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.

<span>m∠CAD = 90 + 25 = 115
answer
</span><span>d.) 115º</span>
Answer:
D 34
Step-by-step explanation:
i hope you understand
<span>The monthly earning is = 4513 dollars.
Find the security tax.
in US, 3% is the security tax.
3% = 3% / 100 = 0.03
NOw, let's solve with this given digits.
=> 4513 * .03 = 135.39
=> 135.39
Therefore the tax deducted to your salary is 135.39 dollars per month.
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