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.
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.
A straight line equation
It is called the line of best fit because it tends to satisfy all the possible points in consideration at the same time with minimal variation.
A line of best fit is used to create an image of the overall correlation between two factors on a scatter graph (showing the general shape of the graph). As a line of best fit should be either a straight line or a smooth curve, the line visiting every point would be impossible to retain this shape (as the experimental results will likely not be identical to the theoretic ones). Also, a line of best fit can be used to highlight anomalous results, so the whole point of it would be destroyed if every point was visited anyway.
As many as possible
Using the line of best fit, yes.
You have to put a line of best fit onto the graph and find where that line crosses the y-axis.
Yes if all points are on the same 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.
Yes. (True)
The lines above represent nothing other than invisibility!
A bar chart, line graph or a scatter gram for the line of best fit
I'm not sure that I have the right understanding for the question but it seems to fit. If you are talking about the r^2 value, correlation of a line of best fit, then it should not be over 1.