If someone gives us two points on a graph, we can figure out a linear equation that goes through both of them: we just use the Rate of Change Formula to figure out the slope, and then figure out the intercept. Turns out we can do a similar process to figure out an exponential equation that goes through any two points.
Obesity among children ages 6-11 continues to increase. From 1994 to 2010, the proportion of children classified as obese rose from an average of 1.1 out of every ten children in 1994 to around 2 out of every ten children in 2010.
Assuming that the prevalence of childhood obesity increases exponentially, what is the annual percent increase and what does the equation project for the year 2020? Well, unless we are able to make drastic improvements in how children eat and how much they exercise.
\begin{align*}
C \amp= \text{ obese children (out of every ten) } \sim \text{ dep} \\
Y \amp= \text{ time (years since 1994) } \sim \text{ indep}
\end{align*}
Why did we choose to measure time in years since 1994? Since we were given a value of our function in the year 1994, it’s helpful for us to choose 1994 as \(Y = 0\text{,}\) so that the value we are given is the starting value -- that is, “start” in our exponential equation template.
Making a little table like the one in this section is a really helpful way to set up problems like this. Let’s practice. In each story below, name the variables, and then summarize the given values in a table.
In a third town, the number of high school students arrested for driving under the influence is half what it was 5 years ago. (Hint: how might you represent the unknown starting value?)
Because of our clever setup that the variable \(Y\) is measured in years since 1994, the starting amount is 1.1 children out of every ten. So, our equation will look like
\begin{equation*}
C = 1.1 \ast g^Y\text{.}
\end{equation*}
Trouble is we don’t actually know what the growth factor \(g\) is. To figure it out, we can use the second piece of information in our table: when \(Y = 16\text{,}\) we know that \(C = 2\text{.}\) We can put those values into our equation to get
No particular reason for switching sides, just wanted to have the variable on the left. That’s supposed to be true but we don’t know what number \(g\) is so we can’t check. Argh.
Oh, wait a minute. The only unknown in that equation is the growth factor \(g\text{.}\) What if we solve for \(g\text{?}\) First, divide each side by 1.1 to get
What kind of equation is this? Since the thing we want to solve for is the base (not the exponent), we have a power equation. We use the Root Formula with power \(n=16\) and value \(v=1.818181818\) to get
Notice we added parentheses because the normal order of operations would do the root first and division second. We wanted the division calculated before the root.
In a third town, the number of high school students arrested for driving under the influence is half what it was 5 years ago. (Hint: Do you actually need to know the unknown starting value?)
In our childhood obesity story, we knew from the beginning that our equation was in the form \(C = 1.1 \ast g^Y\text{.}\) Now that we found the growth factor \(g \approx 1.0381\) we get our final equation
\begin{equation*}
C = 1.1 \ast 1.0381^Y\text{.}
\end{equation*}
For example, we can check that in 2010, we have \(Y=16\) still and so
Not a big difference (2.1 vs. 2.0) but enough to encourage us to keep extra digits in the growth factor in our equation. Lesson here is: don’t round off the growth factor too much.
Let’s explore a situation in which rounding too much really does cause problems. In one town, attendance at parent volunteer night in 2016 was 132, and in 2019 there were twice as many parent volunteers.
Now try rounding the value of \(g\) to one decimal digit. (This is too much rounding! Don’t do this in real life!) Now how many volunteers does your equation predict for 2019? How far off is your equation from the real data?
The other question was what the annual percent increase is. Think back to an earlier example. Remember that Jocelyn was analyzing health care costs in Section 2.2? They began at $2.26 million and grew 6.7% per year. She had the equation
So the growth factor \(g=1.067\) in the equation came from the growth rate \(r=6.7\%=0.067\text{.}\) Our equation modeling childhood obesity is
\begin{equation*}
C = 1.1 \ast 1.0381^Y\text{.}
\end{equation*}
The growth factor of \(g=1.0381\) in our equation must come from the growth rate \(r= 0.0381=3.81\%\text{.}\) Think of it as converting to percent \(1.0381 = 103.81 \%\) and then ignoring the 100% to see the 3.81% increase. Childhood obesity has increased around 3.81% each year. Well, on average.
By the way, formula works just fine if a quantity decreases by a fixed percent. One example we saw was Joe, who drank too much coffee. The growth (or should I say decay) factor was \(g=0.87\text{.}\) That corresponds to a growth (decay) rate of
In a third town, the number of high school students arrested for driving under the influence is half what it was 5 years ago. (Hint: Do you actually need to know the unknown starting value?)
In 1962, my grandfather had savings bonds that matured to $200.
Aside
He gave those to my mother to keep for me. These bonds have continued to earn interest at a fixed, guaranteed rate so I have yet to cash them in. The table lists the value at various times since then.
Have you read news stories about archaeological digs where a specimen (like a bone) is found that dates back thousands of years? How do scientists know how old something is? One method uses the radioactive decay of carbon.
Aside
After an animal dies the carbon-14 in its body very slowly decays. By comparing how much carbon-14 remains in the bone to how much carbon-14 should have been in the bone when the animal was alive, scientist can estimate how long the animal has been dead. Clever, huh? Actually, it is so clever that Willard Libby won the Nobel Prize in Chemistry for it. The key information to know is that the half-life of carbon-14 (the amount of time it takes for half of the original amount of carbon-14 to decay) is about 5,730 years. For this problem, suppose a bone were found that should have contained 300 milligrams of carbon-14 when the animal was alive.
The number of high school students arrested for driving under the influence is half what it was 5 years ago. Assume the number is falling exponentially.
For each equation, find the growth rate and state its units. For example, something might “grow 2% per year” while something else might “drop 7% per hour”.
Chlorine is often used to disinfect water in swimming pools, but the concentration of chlorine \(C\) (in ppm) drops as the swimming pool is used for \(T\) hours according to the equation
Aside
\begin{equation*}
C = 2.5 \ast 0.975^T
\end{equation*}
Estimates for childhood obesity for 2010 were revised to 2.1 out of every ten children. (The 1994 figure of 1.1 out of every ten children remains accurate.)
For each equation, find the growth rate (percent increase or percent decrease) and state the units. (For example, something might “grow 2% per year” while something else might “drop 7% per hour”)
Unemployment figures were just released. At last report there were 20,517 unemployed adults and now, 10 months later, we have 39,061 unemployed adults.
various plant and animal populations, control floods and erosion from nearby lakes and streams, filter water, and help preserve our supply of ground water. Minnesota wetlands acreage in 1850 was 18.6 million acres. By 2003, that number had dropped to 9.3 million acres.
Assuming the acreage decreased exponentially, name the variables, find the annual decay factor and write an exponential equation showing how Minnesota wetlands have decreased.
With some effective management, many wetlands have been restored. By 2012, it’s up to about 10.6 million acres. Assuming acreage has increased exponentially from 2003, name the variables (you may now want to start the years in 2003), find the growth factor and write an exponential equation showing how Minnesota wetlands have been restored.