excans:106afb10d3: Difference between revisions
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(Created page with "Key: E (A) is false. Trees work better with qualitative data. (B) is false. While trees accommodate nonlinear relations, as seen in (E) a linear model can work very well her...") |
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Key: E | '''Key: E''' | ||
(A) is false. Trees work better with qualitative data. | (A) is false. Trees work better with qualitative data. |
Latest revision as of 22:25, 26 May 2023
Key: E
(A) is false. Trees work better with qualitative data.
(B) is false. While trees accommodate nonlinear relations, as seen in (E) a linear model can work very well here.
(C) is false. The variance is constant, so that is not an issue here.
(D) is false. There is a clear relationship as noted in answer (E).
(E) is true. The points appear to lie on a quadratic curve so a model such as
[[math]]
y = \beta_0 + \beta_1 x + \beta_2 x^2
[[/math]]
can work well here. Recall that linear models must be linear in the coefficients, not necessarily linear in the variables.