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taking the transpose of the weights matrix (β) to make the dimensions compatible with matrix multiplication rules. Dimensions: predicted_value = (1, 1) + (m, n) * (1, n) — Taking the transpose of the weights matrix (β) — Dimensions: predicted_value = (1, 1) + (m, n) * (n, 1) = (m, 1) 6. Step — 6: