MATH121
Linear Regression on TI-82
| 1. Enter lists | |
| Clear all lists | |
| Press ENTER until all that is on screen is DELETE:List . |
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| Quit | |
| Get ready to edit lists; position cursor at top of list L1 |
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| Enter x values, pressing
after each one |
Position cursor at top of L2 list |
| Enter y values, pressing after each one |
Quit |
| 2. Graph the data | |
| Turn Plot 1 On | |
| Highlight first type of graph | |
| Xlist is L1 | |
| Ylist is L2 | |
| Mark is ú | |
| Window is set to fit data and data is graphed |
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| Quit | |
| 3. Do the linear regression; the equation will be of the form y(x) = ax + b | |
| Go to STAT CALC and do LinReg(ax+b) |
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| Values of a, b, and r appear on screen a = slope; b = y intercept |
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| 4. Paste the linear regression equation into Y1 and graph it | |
| Regression equation is pasted into Y1 | |
| Regression line is graphed with data points | |
| 5. Use the regression line to make predictions | |
| Method 1: | |
| If the x value where the prediction is to be made is in the current graphing window, | |
| And then enter the x value where the prediction is to be made |
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| Y value is the predicted value | |
| If the x value is not in the current graphing window, the window can be reset to include that x value. It is not necessary to have the y value in the window. Then use the process above. | |
| Method 2: | |
| Use TblSet | |
| Set Indpnt: to Ask and Depend: to Auto Quit And then enter the x value in the X column; the corresponding value in the Y1 column is the predicted value |
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| 6. When regression is completed, turn scatter plots off | |