question 27 (1 point) judgmental forecasting relies upon historical data in developing forecasts. true false…

question 27 (1 point) judgmental forecasting relies upon historical data in developing forecasts. true false question 28 (1 point) is a forecasting technique that uses a weighted average of past time - series values to forecast the value of the time series in the next period. a moving average forecast single exponential smoothing a grassroots forecast regression analysis question 29 (1 point) moving average (ma) methods work best when: a long planning horizon is involved. a cyclical pattern is observed in a time series. demand is relatively stable and consistent. there is a major trend in a time series.
Answer
Brief Explanations:
- Question 27: Judgmental forecasting relies on expert opinions, intuition, and subjective assessments rather than historical data alone.
- Question 28: Single - exponential smoothing uses a weighted average of past time - series values to forecast the next period. Moving average gives equal weights, grassroots forecast is not a standard term in this context, and regression analysis is for finding relationships between variables, not just weighted averages of time - series.
- Question 29: Moving average methods work best when demand is relatively stable and consistent as they smooth out short - term fluctuations. They are not ideal for long planning horizons, cyclical patterns, or major trends.
Answer:
- Question 27: B. False
- Question 28: B. Single exponential smoothing
- Question 29: C. demand is relatively stable and consistent