MATH121
Linear Regression on TI-86
| 1. Enter lists | |
| In OPS, SetLEdit sets up the List editor. | |
| The xStat, yStat, and fStat lists are on screen. | |
| To clear a list, use the arrow keys to hilite
the name of the list, then press |
|
| Now enter the data into the sStat and yStat
lists. To begin entering data into a list, hilite the first entry in the list (or the
dotted line in an empty list), type in the number, and press |
|
| Enter a 1 into the fStat list for each entry in the xStat list. | |
| Exit the list editor | |
| 2. Do the linear regression | |
| Go to the statistics operations. | |
| Calculate the LinR (linear regression) line. Values of a, b, corr (which is r), and n are now on screen. | |
| 3. Turn on the statistics plot. | |
| Turn on Plot1 | |
| Use a scatter plot | |
| Xlist name is xStat | |
| Ylist name is yStat | |
| Use a ú mark | |
| Return to home screen | |
| 4. Graph the data | |
| Then put cursor on any equation present. | |
| Clear all equations. | |
| Graph the scatter plot using a zoom to fit the data. | |
| 5. Graph the linear regression line | |
| Paste the statistics variable RegEq (the regression equation) into y1. | |
| Use the zoom data window to plot the regression line with the data | |
| 6. Use the regression line to make predictions | |
| Use the statistics forecast (FCST) function | |
| Enter the x value where the prediction is to be made | |
| Put cursor on line where y= is and use the solver to find the predicted y value. | |
| 7. Turn off the statistics plot | |
| Turn off stat plot1 and return to home screen. | |