Six_Sigma
ICGB · Question #94
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 concl
The correct answer is D. Any linear or non-linear model would fit the data well.. See the full explanation below for the reasoning.
Question
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?
Options
- AA linear model would be better than a quadratic model.
- BA quadratic model would be better than a linear model.
- CAny non-linear model would fit the data well.
- DAny linear or non-linear model would fit the data well.
- ENeither a linear or non-linear model fits the data well.
- FThe Residuals would be expected to be large for either a linear or quadratic.
How the community answered
(49 responses)- A2% (1)
- B4% (2)
- D76% (37)
- E4% (2)
- F14% (7)
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