Data points that are not close to the line of best fit are called outliers.
It is called a time plot.
A horizontal line.
The straight line that best fits the data on a coordinate plane is the Line Of Best Fit.
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.
Yes. The exception arises when you have outliers.
A line of best fit or a trend line.
The answer to ts question is....Trend Line.
When the domain or range of the data are clearly far from the origin, or where the data consist of two separate clusters.
A best fit graph to some data is exactly that: it is a line which fits the data best according to some optimality criterion. There is a always a trade off in fitting a line to data: one can change the number of degrees of freedom of the underlying equation, which affects how close the line can get to the data points. With more degrees of freedom, the line can more closely approximate the data. This is not to say that more degrees of freedom are better: with too many degrees of freedom, one is merely fitting to the noise in the measurement of the data, and the line will predict subsequent data poorly, when both interpolating and extrapolating the existing data. This is an example of Occam's Razor: one must pick the simplest model which adequately fits the data.
It could be - it is a representation of a line, but whether the "trend" actually fits the data that your given is not possible to say.
A trend line is graphed from a linear, exponential, logarithmic or other equation, and trys to fit the sorted data that you have. But it may or may not be correlated. The line of best fit is the trend line that best fits your data, having a high correlation. R closer to 1.