Let the predictor variable x represent heights of males and let response variable y represent weights of males. A sample of 153 heights and weights results in s, = 16.90585 cm. Using the regression found from the data, a height of 180 cm is used to find that the predicted weight is 91.9 kg and the 95% prediction interval is (58.3 kg, 125.5 kg). Write a statement that interprets that prediction interval. What is the major advantage of using a prediction interval instead of simply using the predicted weight of 91.9 kg? Why is the terminology of prediction interval used instead of confidence interval?
Let the predictor variable x represent heights of males and let response variable y represent weights of males. A sample of 153 heights and weights results in s, = 16.90585 cm. Using the regression found from the data, a height of 180 cm is used to find that the predicted weight is 91.9 kg and the 95% prediction interval is (58.3 kg, 125.5 kg). Write a statement that interprets that prediction interval. What is the major advantage of using a prediction interval instead of simply using the predicted weight of 91.9 kg? Why is the terminology of prediction interval used instead of confidence interval?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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