Multiple Choice Question. 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. What weight does the model predict for a sand shark that is 90 inches in length? Is this an interpolation or an extrapolation? A. 236.26 lb, which is an interpolation B. 56.45 lb, which is an interpolation C. 236.26 lb, which is an extrapolation D. 56.45 lb, which is an extrapolation

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Chapter2: Second-order Linear Odes
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Multiple Choice Question.

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.

What weight does the model predict for a sand shark that is 90 inches in length? Is this an interpolation or an extrapolation?

A. 236.26 lb, which is an interpolation

B. 56.45 lb, which is an interpolation

C. 236.26 lb, which is an extrapolation

D. 56.45 lb, which is an extrapolation

 

 

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