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Answer (B) is correct . Under exponential smoothing, each forecast equals the sum of the last observation times the smoothing constant, plus the last forecast times one minus the constant. Thus, exponential means that greater weight is placed on the most recent data, with the weights of all data falling off exponentially as the data age. This feature is important because of the organizational changes that affected sales volume.

Answer (A) is incorrect because An unweighted average will not give more importance to more recent data.
Answer (C) is incorrect because Queuing theory is used to minimize the cost of waiting lines.
Answer (D) is incorrect because Linear regression analysis determines the equation for the relationship among variables. It does not give more importance to more recent data.