What factors significantly affect how quickly my couch-potato pooch obeys the “lay down” command? The cushiness of the floor surface? The tone of voice used? The type of reward she gets? How hungry she is?

In part one we looked at the elements for a design of experiment (DOE) to answer these questions. In part two I created a 1/8 fraction Resolution IV design for seven factors and collected response data for 16 runs. Now it's time to analyze the data in Minitab, using Stat > DOE > Factorial > Analyze Factorial Design.

After removing insignificant terms from the model, one at a time, starting with the highest-order interaction, here’s the final model:

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