Six Sigma For Dummies, 2nd Edition

Chapter 17

Forecasting Future Performance

In This Chapter

Quantifying relationships between variables

Calculating and interpreting the correlation coefficient

Fitting predictive Y = f(X) + ε curves to data

Checking the validity of fitted prediction curves

Part II of this book shows you how to launch an improvement project and identify the potential variables that influence a critical outcome. Part III covers tools and methods for analyzing the situation and determining which Xs are actually critical and which are trivial.

But in this part, you’re turning over a whole new leaf. With the critical few factors known, you’re ready to begin devising improvements. In this chapter, we show you how to quantify potential improvement effects so you know how much improvement in the output you’ll get for any given adjustment to the critical inputs. We also help you understand the relationships between the input variables and the critical outputs. Knowing the outcome of a potential improvement without spending the resources to test it out is the essence of Six Sigma improvement power!

Seeing the ...