| 1. | Enter your experimental data into the calculator's list memory. (This example uses the same data from the Entering List Data sample.) | |
| 2. | Plot the experimental data. | |
| 3. | Perform an appropriate regression on the data. | |
| 4. | Press [Y=] to pull up the calculator's equation screen. | |
| 5. | With the cursor positioned to enter a new equation, press the [VARS] key to access the calculator's variables menu. | |
| 6. | Chose 5:Statistics to pull up the statistics variables sub-menu. | |
| 7. | Highlight EQ to display all the statistical equation variables. These variables (a, b, c, r, etc.) hold all the numbers determined by the most recent regression. | |
| 8. | Chose 7:RegEQ to insert the entire regression equation in the “Y=” screen. (Notice that the regression equation retrieved from memory actually carries more decimal places than the regression data originally displayed.) | |
| 9. | Press [GRAPH] to display your data plot with the regression equation superimposed on it. The close agreement between the experimental data points and the parabola determined by the quadratic regression is a strong indication that there is in fact a quadratic relationship between the distance and time values. |
|
|
|