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fisheries biologist studying whitefish in a Canadian Lake collected data on the length (in centimeters) and egg production for 25 female sh. A scatter plot of her results and computer regression analysis of egg production versus fish length are given below. Note that number of eggs is given in thousands (i.e., "40" means 40,000 eggs). 70 Number of eggs (thousands) 60- 50- 40 30 20 4.2 4.4 4.6 4.8 5.0 5.2 Fish length (cm) Coef -142.74 39.250 What is the equation of the least-squares regression line? O a Eggs = 25.55 +5.392 (Length) Ob Length = 25.55 + 5.392 (Eggs) Oc Length = -142.74 +39.25 (Eggs) Od Eggs = -142.74 + 39.25 (Length) Oe Eggs = 39.25-142.74 (Length) Predictor Constant Fish length S= 6.75133 R-Sq= 69.7% I SE Coef 25.55 -5.59 5.392 7.28 0.000 P 0.000 R-Sq (adj) = 68.4%

fisheries biologist studying whitefish in a Canadian Lake collected data on the length (in centimeters) and egg production for 25 female sh. A scatter plot of her results and computer regression analysis of egg production versus fish length are given below. Note that number of eggs is given in thousands (i.e., "40" means 40,000 eggs). 70 Number of eggs (thousands) 60- 50- 40 30 20 4.2 4.4 4.6 4.8 5.0 5.2 Fish length (cm) Coef -142.74 39.250 What is the equation of the least-squares regression line? O a Eggs = 25.55 +5.392 (Length) Ob Length = 25.55 + 5.392 (Eggs) Oc Length = -142.74 +39.25 (Eggs) Od Eggs = -142.74 + 39.25 (Length) Oe Eggs = 39.25-142.74 (Length) Predictor Constant Fish length S= 6.75133 R-Sq= 69.7% I SE Coef 25.55 -5.59 5.392 7.28 0.000 P 0.000 R-Sq (adj) = 68.4%

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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A fisheries biologist studying whitefish in a Canadian Lake collected data on the length (in centimeters) and egg production for 25 female fish. A scatter plot of her results and computer regression analysis of egg production versus fish length are given below. Note that number of eggs is given in thousands (i.e., "40" means 40,000 eggs). 70 Number of eggs (thousands) 60 50 40 30- 20- Predictor Constant 4.2 · What is the equation of the least-squares regression line? O a Eggs = 25.55 + 5.392 (Length) Ob Length = 25.55 +5.392 (Eggs) Length = -142.74 +39.25 (Eggs) O Od Eggs = -142.74 + 39.25 (Length) Oe Eggs = 39.25-142.74 (Length) 4.4 4.6 4.8 5.0 5.2 Fish length (cm) T P 25.55 -5.59 0.000 5.392 7.28 0.000 Coef -142.74 Fish length 39.250 S = 6.75133 R-Sq 69.7% SE Coef R-Sq (adj) = 68.4%
Transcribed Image Text:A fisheries biologist studying whitefish in a Canadian Lake collected data on the length (in centimeters) and egg production for 25 female fish. A scatter plot of her results and computer regression analysis of egg production versus fish length are given below. Note that number of eggs is given in thousands (i.e., "40" means 40,000 eggs). 70 Number of eggs (thousands) 60 50 40 30- 20- Predictor Constant 4.2 · What is the equation of the least-squares regression line? O a Eggs = 25.55 + 5.392 (Length) Ob Length = 25.55 +5.392 (Eggs) Length = -142.74 +39.25 (Eggs) O Od Eggs = -142.74 + 39.25 (Length) Oe Eggs = 39.25-142.74 (Length) 4.4 4.6 4.8 5.0 5.2 Fish length (cm) T P 25.55 -5.59 0.000 5.392 7.28 0.000 Coef -142.74 Fish length 39.250 S = 6.75133 R-Sq 69.7% SE Coef R-Sq (adj) = 68.4%
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