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?
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 2CYU
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