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If X represents a feature, Y a target prediction, and b_0 and b_1 are the intercept and coefficient values, then log(Y) = b_0 + b_1

If X represents a feature, Y a target prediction, and b_0 and b_1 are the intercept and coefficient values, then log(Y) = b_0 + b_1 log(X) represents a valid linear regression model. Is this statement true? Explain

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