Table 2.

Example of predictive model to study a duration of sub-stage in impeller production.

Analysis of Variance			Model Summary
Source	DF	P-Value	S	R-sq	R-sq(adj)
Regression	15	0,000	135,38	81,89 %	79,09 %
CTQ1	1	0,000	Regression Equation
CTQ2	1	0,053	Yi = f(CTQ1,CTQ2,CTQ3,CTQ4,CTQ5)
CTQ3	2	0,000
CTQ4	2	0,000
CTQ5	8	0,000

Legend.

•P-value = Assess the significance of association.

•S = Measured in the units of the response variable and represents how far the data values fall from the fitted values.

•R-sq = Percentage of variation in the response that is explained by the model.

•R-sq(adj) = Percentage of the variation in the response that is explained by the model, adjusted for the number of predictors in the model relative to the number of observations.

•DF = Measures the effect each observation has on the fitted values in a linear model.