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.
Yes but phrased differently
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.)
Finding the line of best fit is called linear regression.
In science, a best fit line is a straight line that represents the trend in a set of data points. It is used to determine the overall relationship between the independent and dependent variables in an experiment or observation, helping to identify patterns and make predictions based on the data. The best fit line minimizes the overall error or distance between the line and the data points, providing a visual representation of how the variables are related.
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.
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 does not have to pass through the 0 (origin) and rarely does
Finding the line of best fit is called linear regression.
A best-fit line is the straight line which most accurately represents a set of data/points. It is defined as the line that is the smallest average distance from the data/points. Refer to the related links for an illustration of a best fit line.
Check out the related links section below to see an example of a line of best fit.