Functions > Data Analysis > Curve Fitting > Linear Regression
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.
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.
stderr(vx,vy)—Returns the standard error associated with a linear regression for the points in vx and vy. It measures how closely data points are spread about the regression line using the following formula:
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where n = rows(vx) = rows(vy).
Watch this video to learn more about linear 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.
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