Answer:
the equation of the least-squares line for the data is: 
Step-by-step explanation:
In a simple linear regression model, such as,
, the coefficients bo and b1 are estimated through the method of least squares by the use of the equations:

For the data provided you have to:
, thus:

the equation of the least-squares line for the data is:

Py +7 = 6y + qp
Solve the equation for y
To solve the equation for y we need to get y alone
Py +7 = 6y + qp
Subtract 6y from both sides
Py - 6y +7 = + qp
Subtract 7 from both sides
Py - 6y = + qp - 7
Now factor out y
(P - 6)y = qp - 7
Divide by P - 6 from both sides

You can find the dimensions of the model and plug them into the formula for volume (length x width x height)
Answer:
y = 23/3
Step-by-step explanation:
Simplify both sides of equation
7 = y + -2/3
Flip equation
y + -2/3 = 7
Add 2/3 to both sides
y + -2/3 + 2/3 = 7 + 2/3
y = 23/3