How can you get
started?
Begin by checking the
first differences o f the
y-values. Then check the
second differences and
ratios, if necessary.
& Got It? 1. Graph each set of points. Which model is most appropriate for each set?
a. (0, 0), (1,1), (-1, -0.5), (2, 3) b. (-2,11), (-1, 5), (0, 3), (1, 5)
When the x-values in a set of data pairs have a common difference, you can analyze
data numerically to find the best model. You can use a linear function to model data
pairs with y-values that have a common difference. You can use an exponential function
to model data pairs with y-values that have a common ratio.
no
+1
+1
+1
c
c
c
2 “ 1 ~>3
1 1 +' C
0 5 <
-------------------- J + 3
1 8 ^
+’ C
+' C
an
-2 0.25
-1 0.5
01
1 2
P*2
>2
5 *
The y-values have a common difference
of 3. A linear model fits the data.
For quadratic functions, the second
differences are constant.
In the table at the right, the second
differences of the y-values are all 4, so
a quadratic model fits the data.
The y-values have a common ratio of 2.
An exponential model fits the data.
Pr o b l em 2 Ch o o si n g a M o d el U si n g D i f f er e n ces o r Rat i o s
Which type of function best models the data? Use differences or ratios.
□
BUS
-0.25
-0.75
-1.25
-1.75
-0.5
The first differences are constant, so a
linear function models the data.
The second differences are constant, so a
quadratic function models the data.
Go t I t? 2. Which type of function best models the ordered pairs
(-1 , 0.5), (0,1), (1, 2), (2, 4), and (3, 8)? Use differences or ratios.
590 Chapter 9 Quadratic Functions and Equations