2. = ts) There is a regression equation. It is Weight 180 + 5Height. The mean weight is 155 pounds with a standard deviation of 30 pounds. The mean height is 67 inches with a standard deviation of 3.125 inches. The SEE (the average size of the residual) is 25 pounds. There are 17 people in the sample. Construct a 95% confidence interval for ẞ. Then interpret what it means. Try to explain fully without using generalities. Please reference the equation (meaning discuss height and weight).

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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ISBN:9780079039897
Author:Carter
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Chapter4: Equations Of Linear Functions
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2.
=
ts) There is a regression equation. It is Weight 180 + 5Height. The mean weight is 155 pounds with a
standard deviation of 30 pounds. The mean height is 67 inches with a standard deviation of 3.125 inches. The SEE (the average size of
the residual) is 25 pounds. There are 17 people in the sample. Construct a 95% confidence interval for ẞ. Then interpret what it means.
Try to explain fully without using generalities. Please reference the equation (meaning discuss height and weight).
Transcribed Image Text:2. = ts) There is a regression equation. It is Weight 180 + 5Height. The mean weight is 155 pounds with a standard deviation of 30 pounds. The mean height is 67 inches with a standard deviation of 3.125 inches. The SEE (the average size of the residual) is 25 pounds. There are 17 people in the sample. Construct a 95% confidence interval for ẞ. Then interpret what it means. Try to explain fully without using generalities. Please reference the equation (meaning discuss height and weight).
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