![minitab regression minitab regression](https://support.minitab.com/en-us/minitab/18/frm_wrinkle_resistance_image_gpack_1.png)
When comparing models with different numbers of terms, use the r-squared (adj) for comparison, not the r-squared.
![minitab regression minitab regression](https://support.minitab.com/en-us/minitab-express/1/regression_wrinkles.xml_Graph_cmd2o6.png)
You can display these graphs at one time using the Four in one option. For multiple regression, the residuals are usually analyzed by a histogram, normal probability plot, residuals versus fits, and residuals versus order. Multiple regression is quite robust to nonnormality.
![minitab regression minitab regression](https://d2vlcm61l7u1fs.cloudfront.net/media%2F1a2%2F1a272e0a-f8cb-417d-b4c5-0dee2d3111e0%2FphpgBrT03.png)
Investigate the relationship between a process input and the process output to help decide to either keep the input as a potential leverage variable or set it aside as most likely not important.Įvaluate two inputs to identify whether they duplicate the same information. Use highly correlated and logically linked alternative variables as substitute variables. Use to help develop alternative measurement systems for cases in which a variable is difficult or expensive to measure. A high r-squared (R-Sq) value provides reasonable certainty of the test gage matching the reference gage.
![minitab regression minitab regression](https://blog.minitab.com/hubfs/Imported_Blog_Media/sum_of_squares2.png)