The table below shows data collected on the length and weight of sand sharks. Length 60 62 64 66 68 70 72 Weight 105 114 124 131 139 149 158 A linear regression analysis is run on this data and results in a linear regression equation of y = 4.36x - 156.14 where x is the length of the shark in inches and y is the weight of the sharks in pounds. The correlation coefficient (r) is calculated as 0.9991. Calculate the r-squared value and interpret it in context. A. 99.95% of the variation in a sand shark's weight can be explained by its length. B. 99.82% of sharks fit our model. C. 99.82% of the variation in a sand shark's weight can be explained by its length. D. 99.95% of sharks fit our model.
The table below shows data collected on the length and weight of sand sharks. Length 60 62 64 66 68 70 72 Weight 105 114 124 131 139 149 158 A linear regression analysis is run on this data and results in a linear regression equation of y = 4.36x - 156.14 where x is the length of the shark in inches and y is the weight of the sharks in pounds. The correlation coefficient (r) is calculated as 0.9991. Calculate the r-squared value and interpret it in context. A. 99.95% of the variation in a sand shark's weight can be explained by its length. B. 99.82% of sharks fit our model. C. 99.82% of the variation in a sand shark's weight can be explained by its length. D. 99.95% of sharks fit our model.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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The table below shows data collected on the length and weight of sand sharks.
Length | 60 | 62 | 64 | 66 | 68 | 70 | 72 |
Weight | 105 | 114 | 124 | 131 | 139 | 149 | 158 |
A linear
Calculate the r-squared value and interpret it in context.
A. 99.95% of the variation in a sand shark's weight can be explained by its length.
B. 99.82% of sharks fit our model.
C. 99.82% of the variation in a sand shark's weight can be explained by its length.
D. 99.95% of sharks fit our model.
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