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The numerical average of a set of data is called x-bar. This is the sum of all values divided by the number of values.
The means of the two variable, (x-bar, y-bar)
To find the y-intercept, you need to calculate the gradient, b. Then a, the y-intercept, satisfies the equationy-bar = a + b*x-barwhere x-bar and y-bar are the means of the two variables.
error bar can be drawn for statistical comparison of bars and graphs.
Usually mu is the symbol for the mean of a probability distribution. It is sometimes used as the average of a dataset (also called the mean of the dataset), although I prefer to use "x bar".