The accompanying table lists overhead widths (cm) of seals measured from photographs and the weights (kg) of the seals. Find the (a) explained variation, (b) unexplained variation, and (c) prediction interval for an overhead width of 8.9 cm using a 99% confidence level. There is sufficient evidence to support a claim of a linear correlation, so it is reasonable to use the regression equation when making predictions. Click the icon to view the seal data. Seal Data Overhead Width Weight 7.1 114 7.5 156 ai a 9.6 9.5 65 242 205 8.8 195 8.2 187 Print Done - ☑

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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The accompanying table lists overhead widths (cm) of seals measured from photographs and the weights (kg) of the seals. Find the (a) explained variation, (b) unexplained variation, and (c)
prediction interval for an overhead width of 8.9 cm using a 99% confidence level. There is sufficient evidence to support a claim of a linear correlation, so it is reasonable to use the regression
equation when making predictions.
Click the icon to view the seal data.
Seal Data
Overhead Width
Weight
7.1
114
7.5
156
ai a
9.6
9.5
65
242
205
8.8
195
8.2
187
Print
Done
-
☑
Transcribed Image Text:The accompanying table lists overhead widths (cm) of seals measured from photographs and the weights (kg) of the seals. Find the (a) explained variation, (b) unexplained variation, and (c) prediction interval for an overhead width of 8.9 cm using a 99% confidence level. There is sufficient evidence to support a claim of a linear correlation, so it is reasonable to use the regression equation when making predictions. Click the icon to view the seal data. Seal Data Overhead Width Weight 7.1 114 7.5 156 ai a 9.6 9.5 65 242 205 8.8 195 8.2 187 Print Done - ☑
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