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6. [110*0.3 + 75*0.3 + 100*0.2+80*0.2= 1 point 91.5] this example fits with which following method of forecasting? a. Four months moving average b. Weighted Moving Average c. Exponential O d. All of the above 1 point 7. In forecasting the error means what? a. The forecast is inaccurate b. The forecasting model is wrong C. The difference between actual and predictive value d. There is a typo error in the calculation 1 point 3. Which following one is NOT a characteristics of a forecast? a. Forecast are always inaccurate b. Forecast is based on past data/experiences c. Group forecast is more inaccurate than individual forecast d. Short time forecast will be more accurate than long time forecast 1 point 11. Delphi method is an example of method a. Judgmental b. Time series c. Associative mode d. None of the above 1 point 15. Which following method is less reliable? a. Moving average b. Time series C. Associative mode d. Nave forecast 1 point 14. When we investigate the factors determining the behavioral intention to buy apartments then what type of forecasting method is suitable? a. Judgmental O b. Time series O c. Associative mode d. None of the above 1 point 9. Given a exponential smoothing model [Ft = Ft-1 + a (At-1 - Ft-1)] where a (alpha) stands for error. How to get the value of alpha? a. Historical record O b. Past data O c. Subjective input O d. We have to calculate it 1 point 8. Given a forecasting equation[ y = 140 +10.3t]. What would be the value of the third month forecast? a. 170.9 O b. 168 O c. 188.5 O d. 177 4. Suppose you have the sales data for 1 point the last twelve months and you want to forecast next two months sales. Which following forecast method is suitable for you? a. Judgmental b. Time series O C. Associative mode O d. None of the above 1 point 12. When you experience that you have a rise in sales in January and it is happening for the last several years. What type of data it is? a. Irregular variation b. Seasonality c. Cycle d. Random variation 1 point 2. Forecast affect which area of the business? a. Marketing b. Operations c. Accounting & Finance d. All the above 1 point 13. When you observe that the forecast errors for the last three months are 2, 3, 1 respectively, what would be the MAD(mean absolute deviation? a. 1 b. 2 C. 3 d. 6 1. Scheduling production for the next 1 point two months _ is related to the forecast that significantly affecting which following functional unit of the business? a. Marketing O b. Operations . O d. Finance 1 point 5. Demand of face mask due to COVID 19- is example of which following attributes? a. Trend b. Seasonality O C. Irregular variation d. Cycle 1 point 10. Given five months sales data [January=110, February=115, March=120, April=112, May=122. What would be the value of 3-month moving average forecasting? a. 118 O b. 120 O c. 115 O d. 112