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If we fail to reject the null hypothesis for a multiple regression coefficient, it means that the corresponding predictor var
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1. (D) has a significant linear relationship with y, and it may not be linear

2.(C) The condition that the residuals have constant variance is not met since the variation increases and then decreases as x gets larger.

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