In regression, a predictor that has a lowp-value is unlikely to be a meaningful addition to the model.
True
False
The p-value for each term tests the null hypothesis that the coefficient =0. A low p-value (< 0.05) indicates that rejection of the null hypothesis. In other words, a predictor that has a low p-value is likely to be a meaningful addition to your model because changes in the predictor's value are related to changes in the response variable.
False is the answer
In regression, a predictor that has a lowp-value is unlikely to be a meaningful addition to...
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