Question: 18. The mean absolute deviation (MAD) for the forecasts shown in the following table is a. more than 10 but less than or equal to


18. The mean absolute deviation (MAD) for the forecasts shown in the following table is a. more than 10 but less than or equal to 20 . b. more than 20 but less than or equal to 30 . c. more than 30 but less than or equal to 40 . d. more than 40 but less than or equal to 50 . 19. In the context of data patterns in a time series, which of these are characterized by repeatable periods of ups and downs over short periods of time? a. Random variations b. Seasonal patterns c. Cyclical patterns d. Irregular variations 20. Juan carefully monitors the use of fruit at a breakfast bar and has developed a forecasting model for the use of cherries. The forecast and actual consumption for cherries for the past week is contained in the table. What is the mean squared error of the forecast? 14. A baker in Pompei tracks the daily demand for the baker's artisanal barley spelt loaf. One day in 79 A.D. Vesuvius erupted, and demand for the bread dropped dramatically. What time would series pattern best describe a graph of demand in the year 79 A.D.? a. Random variation b. Cyclical pattern c. Irregular variation d. Seasonal pattern 15. A poultry farmer decides to model hens' egg production based on the number of hours of daylight and the percentage of protein in the layer pellets they are fed. Develop a multiple regression model for this data. How many eggs should the farmer expect if the food pellets contain 8% protein and there are 17 hours of daylight? a. 10.2 b. 9.4 c. 8.6 d. 7.8 9. A donut shop in Bangalore models demand for its savory donuts based on the number of hours the store is open, the advertising budget, and the number of days remaining until Diwali. The regression output is shown below. Based on these results, which factor should be removed from further consideration? a. Intercept b. Hours c. Ad budget d. Days left 10. The following table contains sales data for the last eight periods. Forecast the sales for period 3 using single exponential smoothing with =0.3. Round your results to the nearest integer
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