Data points that are not close to the line of best fit are called outliers.
a line of best fit
Usually when there's 2 dots(data points), you can place a line.When there's more data points, there's way to calculate "best line" that reduces error to the minimum. So kind line best choice of approximate line that defines these dots.
The line of a graph is quite often used to indicate the average of various data points that fall both above and below the line. Very jagged lines get smoothed out, but the trend is the same.
There can be a few reasons. One reason is that the line is wrong, either it has been placed wrong or it is the wrong type of line (linear when it should be exponential) there may even be no line to fit the pattern. Another reason is that simply the real world data points don't fit a correlation exactly, this is why the line is referred to as a "line of best fit" it is the best representation from the data points. One last reason is that the data is wrong either by a plotting error or some other error in the data collection.
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.
True. In a data plot, the line of best fit represents the average trend of the data. Therefore, approximately half of the data points should lie below the line of best fit and half should lie above it if the data is evenly distributed.
Yes. The exception arises when you have outliers.
A scatter plot would be best for non-related data points. A line graph would be best for related data points.
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.)
A straight line which best describes the data on a scatter plot is called a "line of best fit". The line could pass through some of the points, all of them, or none of them.
Data points that are not close to the line of best fit are called outliers.
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.
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a line of best fit
a line of best fit
a line of best fit