In the context of a function that measures height or position of a moving object at a given time, the meaning of the average rate of change of the function on a given interval is the
average velocity of the moving object because it is the ratio of
change in position to
change in time. For example, in
Preview ActivityΒ 1.3.1, the units on
\(AV_{[1.5,2.5]} = -32\) are βfeet per secondβ since the units on the numerator are βfeetβ and on the denominator βsecondsβ. Morever,
\(-32\) is numerically the same value as the slope of the line that connects the two corresponding points on the graph of the position function, as seen in
FigureΒ 1.3.1. The fact that the average rate of change is negative in this example indicates that the ball is falling.
While the average rate of change of a position function tells us the moving objectβs average velocity, in other contexts, the average rate of change of a function can be similarly defined and has a related interpretation. We make the following formal definition.
In every situation, the units on the average rate of change help us interpret its meaning, and those units are always βunits of output per unit of input.β Moreover, the average rate of change of
\(f\) on
\([a,b]\) always corresponds to the slope of the line between the points
\((a,f(a))\) and
\((b,f(b))\text{,}\) as seen in
FigureΒ 1.3.2.
The average rate of change of a function on an interval gives us an excellent way to describe how the function behaves, on average. For instance, if we compute \(AV_{[1970,2000]}\) for Kent County, we find that
\begin{equation*}
AV_{[1970,2000]} = \frac{574,336 - 411,044}{30} = 5443.07\text{,}
\end{equation*}
which tells us that in an average year from 1970 to 2000, the population of Kent County increased by about \(5443\) people. Said differently, we could also say that from 1970 to 2000, Kent County was growing at an average rate of \(5443\) people per year. These ideas also afford the opportunity to make comparisons over time. Since
\begin{equation*}
AV_{[1990,2000]} = \frac{574,336 - 500,631}{10} = 7370.5\text{,}
\end{equation*}
we can not only say that Kent countyβs population increased by about \(7370\) in an average year between 1990 and 2000, but also that the population was growing faster from 1990 to 2000 than it did from 1970 to 2000.
Finally, we can even use the average rate of change of a function to predict future behavior. Since the population was changing on average by \(7370.5\) people per year from 1990 to 2000, we can estimate that the population in 2002 is
\begin{equation*}
K(2002) \approx K(2000) + 2 \cdot 7370.5 = 574,336 + 14,741 = 589,077\text{.}
\end{equation*}