The method of least squares used to estimate David Saylor Academy

Question 142 / 187: The method of least squares used to estimate a regression line is best described by which of the following?

A Solve for the minimum possible sum of the squared errors (SSE) from a sample of data scattered
around a straight line.

B Solve for the maximum possible sum of the squared errors (SSE) from a sample of data scattered
around a straight line.

C Solve for the minimum possible residuals from a sample of data scattered around a straight
line.

D Solve for the minimum possible correlation coefficient from a sample of data scattered around
a straight line.

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https://www.jobilize.com/business-statistics-by-david-bourgeois-bharatendra-rai

Author:

David BourgeoisLecturer

The Saylor Academy

USA

Access: Public Instant Grading

Attribution: David T. Bourgeois, PhD; Bharatendra K. Rai, PhD. Business Statistics. The Saylor Academy 2014, http://www.saylor.org/courses/bus204/

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