The data set represents a bimonthly progression of gasoline prices over the course of several months in an unspecified city. Use a graphing calculator to determine the quadratic regression equation for this data set. x
0
2
4
6
8
y
2.86
2.89
2.93
3.04
3.11

a.
y = 0.01071 x squared + 0.02214 x + 2.85743
c.
y = 0.00268 x squared minus 0.01107 x + 2.85743
b.
y = 0.01071 x squared + 0.02214 x minus 2.85743
d.
y = 0.00268 x squared + 0.01107 x + 2.85743