Final answer:
None of the given functions perfectly fit all three data points, but the function y = 2x + 1 is the closest match for the third data point.
Step-by-step explanation:
To determine which function best fits the data points (0,1), (1,2), and (2,4.25), we need to plug in the x value of the third point into each function and check which function returns the closest y value to 4.25.
For the first function, y = 2x + 1, plugging in x = 2 gives us y = 2(2) + 1 = 5, which is not close to 4.25.
For the second function, y = 3x + 1, plugging in x = 2 gives us y = 3(2) + 1 = 7, which is further away.
For the third function, y = 4x + 1, plugging in x = 2 gives us y = 4(2) + 1 = 9, even further still.
For the fourth function, y = 5x + 1, plugging in x = 2 gives us y = 5(2) + 1 = 11, which is the furthest from 4.25.
None of these functions perfectly fit the third data point, but the first function, y = 2x + 1, comes closest to the actual y value of 4.25 and therefore would be the best choice from the provided options.
Therefore, the correct option is 1) y = 2x + 1.