Six Sigma Lean Green Belt Certification Questions Part 3

Question : 26 of 26

Marks: +1, -0

A Linear Regression model shows an R2 (adjusted) of 0.90 and a P-value of 0.002. A Quadratic Regression model of the same data shows an R2 (adjusted) of 0.92 and a P-value of 0.000. What can you conclude?

A linear model would be better than a quadratic model.
A quadratic model would be better than a linear model.
Any non-linear model would fit the data well.
Any linear or non-linear model would fit the data well.
Neither a linear or non-linear model fits the data well.
F. The Residuals would be expected to be large for either a linear or quadratic.

Validate

Go to Question:

Prev Question