Example 7 from Algebra and Trigonometry, 6.7 Exponential and Logarithmic Models
Does a linear, exponential, logarithmic, or logistic model best fit the values listed in Table 1? Find the model, and use a graph to check your choice.
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | |
| 0 | 1.386 | 2.197 | 2.773 | 3.219 | 3.584 | 3.892 | 4.159 | 4.394 |
Work it out on paper first. Then open the solution one step at a time, and stop as soon as you can finish on your own.
First, plot the data on a graph as in Figure 8. For the purpose of graphing, round the data to two decimal places.
Clearly, the points do not lie on a straight line, so we reject a linear model. If we draw a line between any two of the points, most or all of the points between those two points lie above the line, so the graph is concave down, suggesting a logarithmic model. We can try Plugging in the first point, gives We reject the case that (if it were, all outputs would be 0), so we know Thus and Next we can use the point to solve for
Because an appropriate model for the data is
To check the accuracy of the model, we graph the function together with the given points as in Figure 9.
We can conclude that the model is a good fit to the data.
Compare Figure 9 to the graph of shown in Figure 10.
The graphs appear to be identical when A quick check confirms this conclusion: for
However, if the graph of includes a “extra” branch, as shown in Figure 11. This occurs because, while cannot have negative values in the domain (as such values would force the argument to be negative), the function can have negative domain values.
The book's Try It right after this example: same idea, new numbers. Only the answer is given.
Does a linear, exponential, or logarithmic model best fit the data in Table 2? Find the model.
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | |
| 3.297 | 5.437 | 8.963 | 14.778 | 24.365 | 40.172 | 66.231 | 109.196 | 180.034 |
How did it go?