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To help plan book acquisitions for the next year, a public library collected data on a sample of its active members. For each member in the sample, the library recorded the number of fiction books, x, and the number of nonfiction books, y, borrowed last month. The least squares regression line of this data set is: y = 1.226x - 5.847 omplete the following sentence: For each additional fiction book a library member borrowed last month, the least squares regression line predicts they borrowed additional nonfiction books.

To help plan book acquisitions for the next year, a public library collected data on a sample of its active members. For each member in the sample, the library recorded the number of fiction books, x, and the number of nonfiction books, y, borrowed last month. The least squares regression line of this data set is: y = 1.226x - 5.847 omplete the following sentence: For each additional fiction book a library member borrowed last month, the least squares regression line predicts they borrowed additional nonfiction books.

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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To help plan book acquisitions for the next year, a public library collected data on a sample of its active members. For each member in the sample, the library recorded the number of fiction books, x, and the number of nonfiction books, y, borrowed last month. The least squares regression line of this data set is: y = 1.226x - 5.847 omplete the following sentence: For each additional fiction book a library member borrowed last month, the least squares regression line predicts they borrowed additional nonfiction books. Submit
Transcribed Image Text:To help plan book acquisitions for the next year, a public library collected data on a sample of its active members. For each member in the sample, the library recorded the number of fiction books, x, and the number of nonfiction books, y, borrowed last month. The least squares regression line of this data set is: y = 1.226x - 5.847 omplete the following sentence: For each additional fiction book a library member borrowed last month, the least squares regression line predicts they borrowed additional nonfiction books. Submit
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