In a linear regression model, any predictor attribute with a p-value close to 1 is not ______.

• A. Useful
• B. Influential
• C. Significant
• D. Relevant

Answer: (C)

In linear regression, the p-value tests whether a predictor's coefficient is different from zero. A p-value close to 1 indicates there is little to no evidence that the predictor has an effect on the response—the estimated coefficient is essentially what you’d expect if the true effect were zero. That means the predictor is not significant in the model. Since the statement is about what the predictor is not, the word that fits best is significant—the predictor is not significant. Keep in mind that a high p-value can arise from small sample sizes or multicollinearity, but the direct interpretation is that there isn’t enough evidence to conclude the predictor has a real effect.