Given a sequence of data in context where the outputs are constantly increasing but the rate of growth is decreasing, which of the following functions would best model the data? Assume the dataset indicates that there are no relative extrema(1 point ) an absolute value function a linear function a cubic function a logarithmic function
A logarithmic function would best model the data in this context where the outputs are constantly increasing but the rate of growth is decreasing. This is because a logarithmic function exhibits a slow growth rate as the inputs increase, capturing the decreasing rate of growth seen in the dataset.
