<span>Helena is correct in saying that the point-slope form
will generate the equation. The point-slope form is written as:</span>
<span>
</span>
y-y₁ = m(x-x₁), where,
m = (y₂-y₁)/(x₂-x₁) is the slope of the line
(x₁,y₁) and (x₂,y₂) are the coordinates of the two points
On the other hand, the slope-intercept form is written as:
y = mx + b, where,
m is the slope of the line
b is the y-intercept
In this case, since only two points were given, the y-intercept of the line is not readily known. Thus, it is only through the point-slope form that the equation of the line can be determined. This is because it only requires the substitution of the x and y-coordinates of the points in the equation.
Answer:
x = 2
Step-by-step explanation:
8
−
8
−
=
3
(
6
−
2
)
{\color{#c92786}{8x}}-8{\color{#c92786}{-x}}=3(6-2x)
8x−8−x=3(6−2x)
7
−
8
=
3
(
6
−
2
)
No not always. hope this helps have a nice day
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.
