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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)
  • A
    2% (1)
  • B
    4% (2)
  • D
    76% (37)
  • E
    4% (2)
  • F
    14% (7)

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