1. 0
2. 6.00
3. 7
4. 0.200
5. 7
6. 0.70
7. 8.30
8. 10
11. 8
Answer:
The equation of the regression line is:

Step-by-step explanation:
The Least Squares Regression Line is the line that makes the vertical distance from the data points to the regression line as small as possible. It’s called a “least squares” because the best line of fit is one that minimizes the variance.
We have the following data:

To find the line of best fit for the points:
Step 1: Find
and
as it was done in the table
Step 2: Find the sum of every column:

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

Step 4: Assemble the equation of a line

The graph of the regression line is:
Answer:
6
Step-by-step explanation:
f(x)=x^2-5x+6
To find the y intercept, set x=0
f(0) = 0^2 -5(0) +6
f(0) = 6
The y intercept =6
Answer:
12 to 6
12:6
Step-by-step explanation:
A = L * W
A = 54
L = 2W + 3
54 = W(2W + 3)
54 = 2W^2 + 3W
2W^2 + 3W - 54 = 0
(2W - 9)(W + 6) = 0
2W - 9 = 0
2W = 9
W = 9/2
W = 4.5 <== width
W + 6 = 0
W = -6....it wont be this one because it is negative
L = 2W + 3
L = 2(4.5) + 3
L = 9 + 3
L = 12 <==length