I'll give you a hint. It's either b) or c). Use a regression formula if you need to do this by hand.
Here is one you might use:
predicted y = a + bx
...where a represents the y-intercept and b the slope.
To get to that point, here are some formulas to calculate along the way.
To find a:
a = (Ey/n) - b(Ex/n)
Note: E here means to add up or to find the total.
To find b:
b = SSxy/SSxx
To find SSxy:
SSxy = Exy - [(Ex)(Ey)]/n
To find SSxx:
SSxx = Ex^2 - [(Ex)(Ex)]/n
It may help to set up a table of values. Make a column for X values, Y values, X^2 values (^2 means squared), Y^2 values, and XY values. Total each column. Note that XY means to take X * Y for each pair of values. X^2 means to square each X value. Y^2 means to square each Y value. The value n in all formulas is 8 (for sample size). Once you have all the values you need for the formulas, just plug the values into the formulas and go from there.