Two points.
2 lines, I believe.
line segment
no just jocking
line
ray
That will depend on how you have defined "best fit".-- If it means "maximizes the number of points that are right on", then you'll want tojockey the line around so that as many data points as possible fall directly on it.-- If 'best fit' means the sum of the distances by which the line misses all data pointsis as small as possible, then very few of them may actually sit right on the line.
Noncollinear points are points which are not all on a common line.
2 lines, I believe.
All points on the same line are colinear but if you mean what are the points all called collectively - they represent a "locus of points".
'Line Segment' is a portion of a line that includes two points and all of the collinear points between the hypothetical two points also 'Line Segment' because a line or line segment is a set of infinite points and the infinite points are collinear....
A line through many points with the same air temperatureis an "isotherm".The "isobar" is a line through many points with the same air pressure.
a line
A point can be intersected by infinitely many lines. Two points intersect in only one line. Three points either intersect in a line or not at all. This is only considering two dimensions.
If you plot data points on a graph the rarely will form a straight line. Least squares is a method of finding a line 'close' to all the data points instead of just guessing and drawing a line that looks good. If you have a line, then there is an algebraic formula to find the distance from each point to that line. Then using statistics, you can make the statistically averaged distance from each data point as close as possible to a line. The distances are squared, averaged, and the average of those squared distances may be used to find the regression line.
A line segment
an ellipse.
They need not intersect at all, but if they do, it will be along a straight line and so comprise infinitely many points.