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

class BitAnd(expression, **extra) [source] Returns an int of the bitwise AND

class CovarPop(y, x, sample=False) [source] Returns the population covariance as a float

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

class RegrCount(y, x) [source] Returns an int of the number of input rows in

class RegrR2(y, x) [source] Returns the square of the correlation coefficient as a float

class BitOr(expression, **extra) [source] Returns an int of the bitwise OR

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

class RegrSXY(y, x) [source] Returns sum(x*y) - sum(x) * sum(y)/N (“sum of products”