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(height - np.mean(height)) / np.std(height) weight_std = (weight - np.mean(weight)) / np.std(weight) 2. Covariance Matrix Explanation: The covariance matrix shows how each variable in the dataset varies with the others. It’s a key element in PCA, helping to understand the relationships between