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The residuals for data set A and data set B were calculated and plotted on separate residual plots. If the residuals for data set A do not form a pattern and the residuals for data setB do not form a pattern, what can be concluded? A. A linear model is a good fit for data set A but not data set B. B. A linear model is a good fit for data set B but not data set A. C. A linear model is a good fit for both data sets. D. A linear model is not a good fit for either data set.

The residuals for data set A and data set B were calculated and plotted on separate residual plots. If the residuals for data set A do not form a pattern and the residuals for data setB do not form a pattern, what can be concluded? A. A linear model is a good fit for data set A but not data set B. B. A linear model is a good fit for data set B but not data set A. C. A linear model is a good fit for both data sets. D. A linear model is not a good fit for either data set.

Linear Algebra: A Modern Introduction
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter7: Distance And Approximation
Section7.3: Least Squares Approximation
Problem 31EQ
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The residuals for data set A and data set B were calculated and plotted on separate residual plots. If the residuals for data set A do not form a pattern and the residuals for data set B do not form a pattern, what can be concluded? OA. A linear model is a good fit for data set A but not data set B. O B. A linear model is a good fit for data set B but not data set A. AC. A linear model is a good fit for both data sets. D. A linear model is not a good fit for either data set.
Transcribed Image Text:The residuals for data set A and data set B were calculated and plotted on separate residual plots. If the residuals for data set A do not form a pattern and the residuals for data set B do not form a pattern, what can be concluded? OA. A linear model is a good fit for data set A but not data set B. O B. A linear model is a good fit for data set B but not data set A. AC. A linear model is a good fit for both data sets. D. A linear model is not a good fit for either data set.
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