The exponential regression equation that fits the data is D. y = 8.04.0.98ˣ.
The quickest way is probably to do direct substitution. First, let's try f(0). The values of y predicted by the four equations are, respectively, 3.14, 5.32, 10.84, and 8.46.
From here, it looks like C and D are the closest to the observed data. Let's try f(4) on C and D.
10.84(1.77)⁴ = 10.84 × 9.815 = 106.4
8.46(3.51)⁴ = 8.46 × 151.4 = 1284
Therefore, the exponential regression equation that fits the data is y = 8.04.0.98ˣ.
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