Which of the following is not a common pitfall of regression? Answer If the assu

Question

Which of the following isnota common pitfall of regression? Answer
If the assumptions are not met, the statistical tests may not be valid.
Nonlinear relationships cannot be incorporated.
Two variables may be highly correlated to one another but one is not causing the other to change.
Concluding that a statistically significant relationship implies practical value.
Using a regression equation beyond the range of X is very questionable. Which of the following isnota common pitfall of regression? If the assumptions are not met, the statistical tests may not be valid. Nonlinear relationships cannot be incorporated. Two variables may be highly correlated to one another but one is not causing the other to change. Concluding that a statistically significant relationship implies practical value. Using a regression equation beyond the range of X is very questionable.
If the assumptions are not met, the statistical tests may not be valid.
Nonlinear relationships cannot be incorporated.
Two variables may be highly correlated to one another but one is not causing the other to change.
Concluding that a statistically significant relationship implies practical value.
Using a regression equation beyond the range of X is very questionable.

Explanation / Answer

Nonlinear relationships cannot be incorporated.

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