When the cutting speed increased from low to high level, the tool age increases

The coefficient of the metal hardness is positively related to the output of tool age

The coded coefficient is lower for cutting speed than the cutting angle related to the output of tool age

These plots prove a statistically significance factor with 95% confidence

These plots are an example of interaction plots

10

32

256

64

The Experimental Design is half-fractional

The Main Effects are confounded with only 4-way interactions

The Main Effects for the 5 factors are not aliased or confounded but the 2-way interactions are confounded with the 3-way interactions

The experiment has 8 experimental runs with the first factor at the high level

It is unknown from this graph how many factors were in the Experimental Design

The factors to keep in the mathematical model are E, D, DE, BD and B with an alpha risk equal to 2.06

The effects to keep in the mathematical model are E, D, DE, BD and B with an alpha risk equal to 0.05

The factors to keep in the mathematical model with a 5% alpha risk are BE, AB, A and AD

Multi-Vari Analysis

Baldridge Channels

One Factor at a Time or OFAT

Factorial Design