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The line of best fit is the best possible answer you can get from raw data. They also can be used to make predictions.
It means that you need to give reasons why every point was not on the best fit line.
you draw the line of best fit
No, it does not.
Because the data points are generally not all in line with each other. If you connect the dots,from one data point to the next and then to the next, you usually get a zig-zag line of manysegments, where the slopes of the segments are all different and cover a wide range. It wouldbe impossible to decide what the "real" slope of the data is. The "best fit" line is a line that findsthe pattern buried in the zig-zag data, giving each data point its best share of determining the bestsingle equation to represent the whole batch of points. That's why it's called "best".
The \"line of best fit\" as a science definition is a line that is drawn through a specific set of points that shows the direction the points are heading.
If most of them lie below the line, then that line isn't the best fit. The exact layout depends on what definition you use for "best fit", but any definition will produce a line that has roughly the same number of data points on each side of it.
Best-fit line is used in a graph with a whole bunch of dots. If the dots are grouped up and that they are all going in a direction if there is one then there should be a best-fit line which is only a line going down there path to point that it's not changing.
The line of best fit does not have to start from 0.
Yes but phrased differently
The line that minimized the sum of the squares of the diffences of each point from the line is the line of best fit.
A line of best-fit.
Because the "best fit" line is usually required to be a straight line, but the data points are not all on one straight line. (If they were, then the best-fit line would be a real no-brainer.)
What is the difference between a trend line and a line of best fit
The line of best fit is the best possible answer you can get from raw data. They also can be used to make predictions.
The line of best fit does not have to pass through the 0 (origin) and rarely does
Finding the line of best fit is called linear regression.