5. Linear regression: a. is superior to a moving average. b. is a causal forecasting model. c. compensates for both trend and seasonal variations in demand. d. All of the above. 6. The MAD (mean absolute deviation) is: a. a short-term forecasting technique. b. a technique for measuring forecast errors. c. a technique for determining the direction of forecast errors. d. a parameter of time series analysis