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The least-squares regression line is: the line that makes the sum of the squares of the vertical distances of the data points from the line (the sum of squared residuals) as small as possible. the line such that half of the data points fall above the line and half fall below the line. All of the answer options are correct. the line that passes through the most data points.

The least-squares regression line is: the line that makes the sum of the squares of the vertical distances of the data points from the line (the sum of squared residuals) as small as possible. the line such that half of the data points fall above the line and half fall below the line. All of the answer options are correct. the line that passes through the most data points.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 5PPS
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The least-squares regression line is: the line that makes the sum of the squares of the vertical distances of the data points from the line (the sum of squared residuals) as small as possible. the line such that half of the data points fall above the line and half fall below the line. All of the answer options are correct. the line that passes through the most data points.
Transcribed Image Text:The least-squares regression line is: the line that makes the sum of the squares of the vertical distances of the data points from the line (the sum of squared residuals) as small as possible. the line such that half of the data points fall above the line and half fall below the line. All of the answer options are correct. the line that passes through the most data points.
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