class RegrAvgY(y, x) [source] Returns the average of the dependent variable (sum(y)/N)

class RegrSXX(y, x) [source] Returns sum(x^2) - sum(x)^2/N (“sum of squares”

class BoolOr(expression, **extra) [source] Returns True if at least one input

class BoolAnd(expression, **extra) [source] Returns True, if all input values

delimiter Required argument. Needs to be a string.

class StringAgg(expression, delimiter) [source] Returns the input values concatenated into

class RegrIntercept(y, x) [source] Returns the y-intercept of the least-squares-fit linear

sample By default CovarPop returns the general population covariance. However, if sample=True, the

class Corr(y, x) [source] Returns the correlation coefficient as a float, or

class RegrSlope(y, x) [source] Returns the slope of the least-squares-fit linear equation