SOLUTION
The model given is
[tex]n=5.12t+139.15[/tex]Comparing this with the equation for linear regression
[tex]\begin{gathered} y=bx+a \\ b=\text{slope,a}=\text{ intercept on y} \end{gathered}[/tex]Part A;Hence the slope for the given model is
[tex]-5.12[/tex]This means the decrease in the number of refineries as the years increases
Part B:The intercept on n is
[tex]\begin{gathered} 139.15 \\ Or \\ (0,139.15) \end{gathered}[/tex]This means the Initial value of the oil refineries at the beginning of the year.
The number of refineries in 2012 will be
[tex]\begin{gathered} \text{between 2002 to 2012 we have 10 years} \\ \text{then t=10} \\ n=-5.12(10)+139.15 \\ n=-51.2+139.15 \\ n=87.95 \end{gathered}[/tex]Therefore
the predicted number of refineries is 87.95