Prey attracts predators Refer to Exercise 4. Computer output from the least-squares

Chapter 12, Problem 6

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QUESTION:

Prey attracts predators Refer to Exercise 4. Computer output from the least-squares regression analysis on the perch data is shown below. Predictor Coef Stdev. t-ratio p Constant 0.12049 0.09269 1.30 0.215 Perch 0.008569 0.002456 3.49 0.004 S = 0.1886 R-Sq = 46.5% R-Sq(adj) = 42.7% The model for regression inference has three parameters: a, b, and s. Explain what each parameter represents in context. Then provide an estimate for each.

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QUESTION:

Prey attracts predators Refer to Exercise 4. Computer output from the least-squares regression analysis on the perch data is shown below. Predictor Coef Stdev. t-ratio p Constant 0.12049 0.09269 1.30 0.215 Perch 0.008569 0.002456 3.49 0.004 S = 0.1886 R-Sq = 46.5% R-Sq(adj) = 42.7% The model for regression inference has three parameters: a, b, and s. Explain what each parameter represents in context. Then provide an estimate for each.

ANSWER:

Step 1 of 2

From Exercise 4,

Sample size,

The model for regression inference has three parameters: . We have to explain what each parameter represents in context. Then provide an estimate for each.

 

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