Answer: y = -1
Explanation: the y axis is the vertical line, the crossing line intersects at -1.
Hope this helps!
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:

Step-by-step explanation:
we have the points
(-9,7) and (-6,-3)
step 1
Find the slope
The formula to calculate the slope between two points is equal to
substitute the values


step 2
Find the equation in point slope form

we have


substitute
---> equation in point slope form
step 3
Find the equation of the line in slope intercept form

we have

Isolate the variable y
Distribute right side

subtract 3 both sides


Answer:
c. Weights of babies are normally distributed
Step-by-step explanation:
The research has been conducted to identify the weight of new born babies in comparison to the weight of their mother. The samples are collected from young mothers who are at age of 16 to 18. The babies average weight turned out to be 7.3 pounds. It is assumed that the weight of babies is normally distributed.