A linear function best models this set of data points. This can be seen by looking at the relationship between the input values (x-values) and the output values (y-values) - as the input values increase by 1, the output values decrease by a consistent amount. This pattern is best represented by a linear function of the form y = mx + b, where m is the slope and b is the y-intercept.
