Fixes bug for computing gradient #96
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std(x) has a prefactor of 1/N, whereas cov(x,y) has a prefactor of 1/N-1. So we should use the covariance[0,0] to get the variance of x directly. ``` cov[0,1]/cov[0,0],cov[0,1]/np.std(df['seg_rrs'][ind])**2 >>> (np.float64(0.018677554097208945), np.float64(0.020375516343523768)) ```
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std(x) has a prefactor of 1/N, whereas cov(x,y) has a prefactor of 1/N-1. So we should use the covariance[0,0] to get the variance of x directly.