Linear Fit Coefficients (Not in Base Package)

Finds the set of linear coefficients slope and intercept, which describe the line that best represents the input data set. This VI is a subVI of the Linear Fit VI.

The general form of the linear fit is given by

F = mX + b

where F is the sequence representing the best fitted values. X represents the input sequence X Values, m is the slope, and b is the intercept.

Y Values must contain at least two points: n is greater than or equal to 2. If there are less than two sample points, the VI sets slope and intercept to NaN and returns an error.
X Values must contain at least two points: n is greater than or equal to 2. If there are less than two sample points, the VI sets slope and intercept to NaN and returns an error.
slope is the slope of the calculated linear fit.
intercept is the intercept of the calculated linear fit.
error returns any error or warning condition from the VI.