Graphically displays the average value of the output for multiple levels of 2-process inputs. The interactions plot displays the magnitude and direction of change in the output as you simultaneously change the levels of the 2-process inputs. You can also use it to plot standard deviations in a DOE to study the effects of 2-process inputs on process variation.
|When to Use||Purpose|
|Mid-project||Fixing two inputs at two or more different settings (levels) helps to determine which combinations of inputs have significant influence on the mean of the output.|
|Mid-project||Fixing two inputs at two or more different settings (levels) and recording the standard deviation of the output at each setting helps to determine which inputs have significant influence on the process variation.|
|Mid-project||Verify changes to inputs result in significant differences from the pre-project mean.|
|Mid-project||Used as a graphical aid when using ANOVA or with a DOE.|
|Mid-project||Good tool for communicating the effects of process inputs on the process output to project stakeholders.|
Continuous Y, two X's (numeric or categorical factors). If factors are numeric, they must be controlled at specific levels.
Enter the data as follows: