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QUESTION 4 Problem 11.57ga: Consider the residuals of the regression. Report the value of "Std Residual" with the largest absolute value. Use 2 decimals for your answer

QUESTION 4 Problem 11.57ga: Consider the residuals of the regression. Report the value of "Std Residual" with the largest absolute value. Use 2 decimals for your answer

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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QUESTION 4 Problem 11.57ga: Consider the residuals of the regression. Report the value of "Std Residual" with the largest absolute value. Use 2 decimals for your answer Hint: L-26: p 9 (Ex. 11.65ff)
Transcribed Image Text:QUESTION 4 Problem 11.57ga: Consider the residuals of the regression. Report the value of "Std Residual" with the largest absolute value. Use 2 decimals for your answer Hint: L-26: p 9 (Ex. 11.65ff)
11.57 A researcher conducts an experiment to examine the relationship between the weight gain of chickens whose diets had been supplemented by different amounts of the amino acid lysine and the amount of lysine ingested. Since the percentage of lysine is known and we can monitor the amount of feed consumed, we can determine the amount of lysine eaten. A random sample of 12 2-week-old chickens was selected for the study. Each was caged separately and was allowed to eat at will from feed composed of a base supplemented with lysine. The sample data summarizing weight gains and amounts of lysine eaten over the test period are given here. (In the data, y represents weight gain in grams, and x represents the amount of lysine ingested in grams.) a. From the scatterplot of the data, does a linear model seem appropriate? b. Compute the estimated linear regression model ý = B, + B,x. Weight Gain, y (in grams) Lysine Ingested, x (in grams) Weight Gain, Lysine Ingested, x (in grams) Chick Chick y (in grams) 1 14.7 .09 7. 17.2 .11 17.8 .14 18.7 .19 3. 19.6 .18 9 20.2 23 4 18.4 15 10 16.0 13 5 20.5 .16 11 17.8 .17 6. 21.1 23 12 19.4 21
Transcribed Image Text:11.57 A researcher conducts an experiment to examine the relationship between the weight gain of chickens whose diets had been supplemented by different amounts of the amino acid lysine and the amount of lysine ingested. Since the percentage of lysine is known and we can monitor the amount of feed consumed, we can determine the amount of lysine eaten. A random sample of 12 2-week-old chickens was selected for the study. Each was caged separately and was allowed to eat at will from feed composed of a base supplemented with lysine. The sample data summarizing weight gains and amounts of lysine eaten over the test period are given here. (In the data, y represents weight gain in grams, and x represents the amount of lysine ingested in grams.) a. From the scatterplot of the data, does a linear model seem appropriate? b. Compute the estimated linear regression model ý = B, + B,x. Weight Gain, y (in grams) Lysine Ingested, x (in grams) Weight Gain, Lysine Ingested, x (in grams) Chick Chick y (in grams) 1 14.7 .09 7. 17.2 .11 17.8 .14 18.7 .19 3. 19.6 .18 9 20.2 23 4 18.4 15 10 16.0 13 5 20.5 .16 11 17.8 .17 6. 21.1 23 12 19.4 21
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