This is what I think your looking for
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.

Answer:
your answer will be <em><u>C. y = x-4</u></em>
Step-by-step explanation:
hope it helps you...
Answer:
Habrá 100 chocolates en total en 5 cajas de chocolates.
Step-by-step explanation:
Esta pregunta es resolvida usando proporciones, con lo uso de regla de tres
.
11 cajas, 220 chocolates:
Entonces:

20 chocolates por caja.
Calcula cuántos chocolates habrá en total en 5 cajas de chocolates.
20 chocolates por caja, entonces:
5*20 = 100
Habrá 100 chocolates en total en 5 cajas de chocolates.
Answer:
347
Step-by-step explanation:
2(3) + 210 = 216
2(3) + 125 = 131
216+131 = 347