Regression - Diagnostic - Plot - Normal Q-Q
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Displayr - Regression
Q Technical Reference
Q Technical Reference
Q Technical Reference > Multivariate Statistics
Q Technical Reference > Setting Up Data > Creating New Variables
Q Technical Reference > Updating and Automation > Automation Online Library
Q Technical Reference > Updating and Automation > JavaScript > QScript > QScript Examples Library > QScript Online Library
R Online Library
User Interface > Create Regression
User Interface > Regression
A Normal Quantile-Quantile chart. This reveals departures from the normality assumption. Where the residuals are normally distributed, the points on the line will form an approximately straight line running from the bottom-left to the top-right. Shapes other than a straight line indicate that the normality assumption may not have been satisfied. See this answer on Cross Validated for more information.
Example
An example Q-Q plot output from running this QScript on a linear regression model is shown below.
Acknowledgements
Uses plot.lm and/or plot.glm function from the stats R package.
Code
includeWeb("QScript R Output Functions");
const menu_location = "Regression > Diagnostic > Plot > Normal Q-Q";
createDiagnosticROutputFromSelection(menu_location);
Displayr - Regression
Q Technical Reference
Q Technical Reference
Q Technical Reference > Multivariate Statistics
Q Technical Reference > Setting Up Data > Creating New Variables
Q Technical Reference > Updating and Automation > Automation Online Library
Q Technical Reference > Updating and Automation > JavaScript > QScript > QScript Examples Library > QScript Online Library
R Online Library
User Interface > Create Regression
User Interface > Regression