vcwann5549 vcwann5549

20-02-2020
Mathematics

contestada

Select the correct definition of a least squares regression line. A line fitted to data points that minimizes the sum of the squared residuals. A line fitted to data points such that the line goes through the greatest number of points. A line fitted to data points such that the sum of the squared horizontal differences between the line and the data points is minimized. A line fitted to data points that minimizes the absolute value of the vertical deviations between the line and data points. A line fitted to data points where the correlation between the variables is at least 0.5.

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khansawaqar7 khansawaqar7

20-02-2020

Answer:

A line fitted to data points that minimizes the sum of the squared residuals

Step-by-step explanation:

The principle of least square(LS) consists of determining the values of the unknown parameters that will minimize the sum of squares of errors (or residuals) where errors are defined as the differences between observed values and the corresponding values predicted or estimated by the fitted model equation.

Thus, the correct definition of least square regression line is "A line fitted to data points that minimizes the sum of the squared residuals"

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andromache andromache

16-12-2021

A line fitted to data points that minimizes the sum of the squared residuals

The following information should be considered:

The principle of least square(LS) comprises of measuring the values of the unknown parameters that should minimize the sum of squares of errors (or residuals) at the time when errors are defined.
It could be defined as the differences between observed values and the corresponding values estimated via the fitted model equation.

Learn more: brainly.com/question/17429689

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