Posted by: Pdfprep
Post Date: December 9, 2020
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 . A linear model would be better than a quadratic model.
B . A quadratic model would be better than a linear model.
C . Any non-linear model would fit the data well.
D . Any linear or non-linear model would fit the data well.
E . 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.
Answer: D
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