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.

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Elementary Linear Algebra (MindTap Course List)

8th Edition

ISBN:9781305658004

Author:Ron Larson

Publisher:Ron Larson

Chapter2: Matrices

Section2.6: More Applications Of Matrix Operations

Problem 18E

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Help please!

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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