A scatter diagram has points that show the relationship between two sets of data.
We have the following data,

where <em>x</em> is the average number of employees in a group health insurance plan and <em>y</em> is the average administrative cost as a percentage of claims.
To make a scatter diagram you must, draw a graph with the independent variable on the horizontal axis (<em>in this case x</em>) and the dependent variable on the vertical axis (<em>in this case y</em>). For each pair of data, put a dot or a symbol where the x-axis value intersects the y-axis value.
Linear regression is a way to describe a relationship between two variables through an equation of a straight line, called line of best fit, that most closely models this relationship.
To find the line of best fit for the points, follow these steps:
Step 1: Find
and
as it was done in the below table.
Step 2: Find the sum of every column:

Step 3: Use the following equations to find intercept a and slope b:

Step 4: Assemble the equation of a line

I’d say -1 but you probably need a better answer so I’d say -2.5
Answer:
The coordinates of the Pizza Hut is (6,-11)
Step-by-step explanation:
Gym is equidistant and collinear from Target and Pizza Hut.
T (-17, 17) : 
G (-5.5, 3) : (x,y)
P : 
Mid point formula ; (x,y) is on mid point on line formed by joining points
and 
m = 1, n = 1








The coordinates of the Pizza Hut is (6,-11)
1lb = 16 oz
5(16)=80 lbs of dog food
80/7=11.4 days
We want an equation which equals
0
at the given points
6
and
−
10
.
Our quadratic equation should be a product of expressions which are zero at the specified roots.
Consider
(
x
−
6
)
⋅
(
x
+
10
)
=
0
This equality holds if
x
=
6
since
(
6
−
6
)
⋅
(
6
+
10
)
=
0
⋅
16
=
0
And the equality holds if
x
=
−
10
since
(
−
10
−
6
)
⋅
(
−
10
+
10
)
=
−
16
⋅
0
=
0
Expanding this equation by the FOIL method, we get:
x
2
+
10
x
−
6
x
−
60
Combining like terms, we find our solution: