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Linear relationship between a predictor and criterion

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    Assignment ID: FG133135410

    In assessment and selection, a linear relationship between a predictor and criterion is often assumed. Which of the following DOES NOT justify this practice?

    a. Correlation coefficients based on an assumption of non-linearity are required in many statistical analyses.

    b. Some nonlinear functions can easily be transformed to linear ones.

    c. Evidence of nonlinear relations is relatively rare.

    d. Linear regression is relatively robust to violations of assumptions.

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