![]() Scroll to the right to see the values for each of the residuals. Press ENTER once more to display the residuals. ![]() ![]() To see the actual values of the residuals, press 2nd and then press STAT. Use the Orion TI-84 Plus down arrow, and it will announce Scatter Plot, one of six. The x-axis displays the x values from the dataset and the y-axis displays the residuals from the regression model. Turn calculator on by pressing the ON key on the TI-84 Plus keypad. On a TI-81, TI-82, TI-83, or TI-84, hit STAT CALC LinReg(ax. Lastly, press ZOOM and then scroll down to ZoomStat and press ENTER. You need to create a scatter plot first (see above). The term “RESID” will then appear next to Ylist: Then scroll down to YList and press 2nd and then press STAT. Enter your data in L1 and L2, with the values of the independent or explanatory variable in L1, and the. Then press 7 to choose the residuals: The term RESID will then appear next to. First, enter the STAT menu and select 1:Edit. You can create both of these on the TI-84 Plus calculator. Hover over the On option and press press ENTER. The most common plots used to graph two-variable data sets are the scatter plot and the xy-line plot. Hover over the “On” option and press press ENTER. In the new screen that appears, press ENTER on the first plot option. In the new screen that appears, press ENTER on the first plot option. The fitted regression model is: y = 7.397 + 1.389x Step 3: Create the Residual Plot Press ENTER once again to perform linear regression: Then scroll down to LinReg(ax+b) and press ENTER. Next, we will fit a linear regression model to the dataset. ![]() Then enter the x-values of the dataset in column L1 and the y-values in column L2: This tutorial provides a step-by-step example of how to create a residual plot for the following dataset on a TI-84 calculator: A residual plot is used to assess whether or not the residuals in a regression analysis are normally distributed and whether or not they exhibit heteroscedasticity. ![]()
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