There is an assumption that the weight of a fish is linearly related to its length or width. Based on the regression analysis of the fish weight with total length, standard length and width, 3 models of regression line equations were obtained along with the correlation coefficient (r) whose results are shown in the following table.

Linear Regression Line Equation Model

1, Fish Weight = -40,282 + 1,032 total length

r = 0.834

2, Fish Weight = 8.5 + 0.593 width

r = 0.826

3. Fish Weight = -133,028 + 11,713 standard length

r = 0.975

Question

a. Define and explain the equation model of line no. what is the best used to estimate the weight of the fish.

b. Based on answer a, what is the % error factor that occurs in estimating fish weight?

c. Based on answers a and b, conclude that the regression model is strong enough to estimate the weight of the fish

d. Based on answers a, b, and c, explain what factors from the total length, width and standard length are least likely to determine the weight of the fish

Maybe this could help

http://www.fao.org/3/X6845E/X6845E02.htm

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3799404/