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Pearson’s correlation coefficient (r) is a measure of the strength and direction of the linear relationship between two variables, ranging from −1 (perfect negative) through 0 (no linear relationship) to +1 (perfect positive). It is found by dividing the covariance of x and y by the product of their standard deviations, which standardises the result into that fixed −1 to +1 range. It needs at least two pairs, and the result is undefined if either variable never changes. It needs at least two pairs, and the result is undefined if either variable never changes. The calculator returns r, the coefficient of determination r², the covariance, and the least-squares regression line (slope and intercept), plus a plain-English reading of the strength, and plots the data with its best-Worked example:Enter paired x and y values in the same order; the two lists must have the same number of values.Enter paired x and y values in the same order; the two lists must have the same number of values.Enter paired x and y values in the same order; the two lists must have the same number of values.Enter paired x and y values in the same order; the two lists must have the same number of values.Enter paired x and y values in the same order; the two lists must have the same number of values.Enter paired x and y values in the same order; the two lists must have the same number of values.Enter paired x and y values in the same order; the two lists must have the same number of values.Enter paired x and y values in the same order; the two lists must have the same number of values.Enter paired x and y values in the same order; the two lists must have the same number of values.Enter paired x and y values in the same order; the two lists must have the same number of values.Enter paired x and y values in the same order; the two lists must have the same number of values.Enter paired x and y values in the same order; the two lists