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For a given set of data points, the sine curve that "best"
fits the data as a model is called a least-squares sinusoidal regression
model. The TI-83/84 can easily compute the equation of this model. Consider
the following data giving the total number of tornados (y) for
the years 1986 through 1994 (where x = 0 for 1980):
| x |
6 |
7 |
8 |
9 |
10 |
11 |
12 |
13 |
14 |
| y |
765 |
656 |
702 |
856 |
1133 |
1132 |
1297 |
1173 |
1082 |
This data consists of nine ordered pairs. Before entering the data using the stat editor, we
will first ensure the stat editor is set up properly. This is done with the SetUpEditor
command from the Home screen.
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