def mcc_chi_squared(mcc, num_samples):
return mcc_chi(mcc, num_samples) ** <NUM_LIT><EOL>
Return the equivalent Chi-Squared value for a given MCC (correlation) value
    Chi is a cumulative value on the horizontal axes (z-score) and represents confidence in correlation
    (like the inverse of P-value) or statistical significance.
    Assumes that the random variable being measured is continuous rather than discrete.
    Otherwise num_samples should be the number of degrees of freedom: (num_possible_states - 1) ** 2
    >>> round(mcc_chi_squared(0.5, 100), 3)
    25.0