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 best fit does not have to pass through the 0 (origin) and rarely does
The line of best fit is simply the line that shows the general direction of the graph. The trick is to make the line go through as many points on the graph as possible. Some scatter plots have no line of best fit.
Not necessarily. Often it is, but the line of best fit is simply an equation that closely matches the results. Therefore any line could be a line of best fit, linear, quadradic, or even cubic! The sky (and the results) are the limit.
The best fit line is basically the average of a graph; it represents where, when, etc. the majority of the event occurred.
Data points that are not close to the line of best fit are called outliers.
you mean line of best fit?
It means that you need to give reasons why every point was not on the best fit line.
a line of fit mean perfect line.
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.