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
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".
Im guessing that this is a distance over time graph. if so, the gradient of the line of best fit would have a low value. (not be very steep)
hans
A line of best fit is a technique used in statistics. It is a line that represents the relationship between data points showing two variables. It is "best" according to some user-specified criteria. The least squares regression line is the most popularly used line of best fit but it is not the only option.
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.
It is very useful and interesting to be able to enter data for two variables, graph those points in a scatter plot, and then generate a line of best fit through those points. From the line of best fit, it is fairly simple to generate a linear equation. A line of best fit is drawn through a scatterplot to find the direction of an association between two variables. This line of best fit can then be used to make predictions.
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.
The line of best fit is used to predict future decisions.