SAT College

The line of best fit is also called the least-squares regression line. Which statement best explains that name?

The line is located on a scatterplot so that it minimizes the squared distances from the points to the line.
The line represents the place on the scatterplot that connects the points in the smallest square possible.
The line is located on a scatterplot so that it maximizes the squared distances from the points to the line.
The line represents the place on the scatterplot that crosses through the greatest number of points.

Answers

Answer 1

Answer:

The Answers is A

Explanation:

yeah ....

Answer 2

The line of best fit is also called the least-squares regression line. The statement best explains that the name is the line is located on a scatterplot so that it minimizes the squared distances from the points to the line. The correct option is a.

What is the least-squares regression line?

The least-squares regression line is the line that reduces the sum of residuals square. There are two points on the map; the observed point and the reserved point. The distance between the observed and reserved point is the residuals square.

In a map, there is an x-axis and a y-axis. These axes are used to point lines and graphs.

Therefore, the correct option is a, the scatterplot's line is positioned to minimize the squared distances between the points and the line.

To learn more about least-squares regression line, refer to the link:

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