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Given results from a regression of y = a + b*x, and a particular value of...

Given results from a regression of y = a + b*x, and a particular value of x, a 95% prediction interval for a single value of y is always wider than a 95% confidence interval for the associated average value of y.

i think this is rruw but am having trouble figuring it out for sure
math   Statistics-And-Probability   
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Answer #1

Correct option:

True

Explanation:

Prediction Interval is always wider than Confidence Interval because Prediction Interval accounts for both the uncertainty in estimating the population parameter, and also data scatter, whereas Confidence Interval accounts for the uncertainty in estimating the population parameter only.

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