Final answer:
Willis made a mistake in concluding that the function is linear based on the increasing differences in the y-values. The correct approach is to check if the ratios of the differences are constant. If the ratios are constant, then the function is linear. For the given table, the ratios of the differences are not constant, indicating that the function is non-linear.
Step-by-step explanation:
Willis made a mistake in concluding that the function is linear based on the increasing differences in the y-values. While it is true that a linear function will have a constant rate of change, the differences can also increase for a non-linear function. Willis should have checked if the ratios of the differences were constant instead. If the ratios were constant, then the function would be linear.
For the given table, the differences in the y-values are 6, 10, and 14. Taking the ratios of these differences, we get 10/6 = 1.67 and 14/10 = 1.4. Since the ratios are not constant, the function is non-linear.