please answer both questions

A few years ago, Google found a significant correlation between online searches on Google about nu and actual u spread figures and used that knowledge to build a forecast for flu spread that beat the CDC'S forecast. However, the following years forecasts made by Google, using similar search data from those years were off by a significant marin (overforecasted. Why did this most likely happen? Because increased awareness of fu in the general public led many more to take flu shots, and thus the incidence of fu was lower than forecasted Because the flu strains change drastically from year to year, and thus the actual spread of the disease declined radically because a weaker fu strain came in the years following Google's first forecast Because the gradual increased awareness of flu in the general public led to increased Google searches by heat people who did not eventually catch the flu. As such the correlation between the of Google searches and the actual flu cases that happened after the searches, declined considerably. Google's forecasts were presumably still running based on the earlier, stronger correlation In the base to model ifD5,000 units per month, 55100/order, and H$10 per unit per year, then the total cost of the EOQ ordering policy b? Pick the stonest answer. Hound up decimals. if any BOQ-Sqroot of 2D D-annual demand in units Se cost of placing 1 order; H-cost of holding one of that item in inventory for 1 year TCW of ordersyr 5. Avg. Inventory * H. Average inventory (Beginning tnv + Ending w2. # of Ordersyr = D/order ty 54000 $3190 510930 513.300 A few years ago, Google found a significant correlation between online searches on Google about nu and actual u spread figures and used that knowledge to build a forecast for flu spread that beat the CDC'S forecast. However, the following years forecasts made by Google, using similar search data from those years were off by a significant marin (overforecasted. Why did this most likely happen? Because increased awareness of fu in the general public led many more to take flu shots, and thus the incidence of fu was lower than forecasted Because the flu strains change drastically from year to year, and thus the actual spread of the disease declined radically because a weaker fu strain came in the years following Google's first forecast Because the gradual increased awareness of flu in the general public led to increased Google searches by heat people who did not eventually catch the flu. As such the correlation between the of Google searches and the actual flu cases that happened after the searches, declined considerably. Google's forecasts were presumably still running based on the earlier, stronger correlation In the base to model ifD5,000 units per month, 55100/order, and H$10 per unit per year, then the total cost of the EOQ ordering policy b? Pick the stonest answer. Hound up decimals. if any BOQ-Sqroot of 2D D-annual demand in units Se cost of placing 1 order; H-cost of holding one of that item in inventory for 1 year TCW of ordersyr 5. Avg. Inventory * H. Average inventory (Beginning tnv + Ending w2. # of Ordersyr = D/order ty 54000 $3190 510930 513.300