g When comparing the 90 percent prediction and confidence intervals for a given regression analysis Multiple Choice the prediction interval is narrower than the confidence interval. the prediction interval is wider than the confidence interval. there is no difference between the size of the prediction and confidence intervals. no generalization is possible about their comparative width.

the prediction interval is wider than the confidence interval

Step-by-step explanation:

Given that the confidence intervals depicts how a researcher got its parameter of interest, for example, regression coefficient, and prediction intervals show the researcher where to find the subsequent sampled data.

Therefore, Prediction intervals must cater to the uncertainty in estimating the population mean, and the random variation of the individual values.

Hence, when comparing the 90 percent prediction and confidence intervals for given regression analysis, a prediction interval is invariably wider than a confidence interval.

This explains the fact that the prediction interval will not collapse to a single value as the sample size rises.

step-by-step explanation:

there are 36 inches in a yard

25 : 36 = 0.69 yards (you can round to 0.70)