Linear Regression

line(vx, vy) Returns a vector containing the coefficients a and b for a line of the form a + b·x that best approximates the data in vectors vx and vy in the least-squares sense. If you want the coefficients independently, use:

slope(vx, vy) Returns the slope of line that best fits data in vx and vy.

intercept(vx, vy) Returns the intercept of line that best fits data in vx and vy.

medfit(vx, vy) Returns a vector containing the coefficients a and b for a line of the form a + b·x that best approximates the data in vectors vx and vy using median-median regression.

Arguments:

• vx is a vector of real numbers representing the x values.
• vy is a vector of real numbers representing the y values. vy must be the same length as vx.

Notes:

• To further analyze your data, or determine the suitability of a linear regression, you may wish to apply other statistics functions for data analysis.

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