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A PRE measure with a value of .17 indicates what? Choices A. We should accept the...

A PRE measure with a value of .17 indicates what?

Choices

A. We should accept the null hypothesis

B. There is a 17% improvement in the probability of predicting the value of the dependent variable by knowing the independent variable

C. Our confidence interval is low so we should reject the null hypothesis

D. The variables are not significantly related
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Answer #1

B. There is a 17% improvement in the probability of predicting the value of the dependent variable by knowing the independent variable

The Proportional Reduction in Error (PRE Test) is a criterion that is commonly used in statistics which basically quantifies the extent that knowledge about one variable can help us predict another variable. Here the PRE of 0.17 indicates that there is a 17% improvement in the probability of predicting the value of the dependent variable by knowing the independent variable.

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