The Blue Seas Company, which is under contract to the U.S. Navy, assembles trop depieyment boats. As part of is research program, it completes the assembly of the first of a new model (PTt toh) of deployment boats. The Navy is impressed with the PT 109 . If requests that Blue Seas subnit a proposal on the cost of producing another sx PT togs. Elue Seas reports the following cost information for the first PT109 assembled and uses a 90% cumulative average-time leaming model as a boss's for forecasting direct manufacturing labor-hours for the next six pT10Gs. (A 90\%. leaming curve means b=0.152004.) Cick the icon to vew the cost information ) Read the roovitements Requirement 1. Caiculate predicted total costs of producing the six. PT109s for the Navy. (Blue Seas will keep the fist deployment boat assembied, costed at 51,443,500, as a demenatration model for polential customers.) Begin by determining the hours used to produce the six PT109s for the Navy. (Round intermediary and final arswers to the nearest whole number:) The total cumulative tme in labor-hours for seven PT10es is houn, theretore, the sotal time to produce six PT109s is hours Data table Requirements 1. Calculate predicted total costs of producing the six PT109s for the Navy. (Blue Seas will keep the first deployment boat assembled, costed at $1,443,500, as a demonstration model for potential customers.) 2. What is the dollar amount of the difference between (a) the predicted total costs for producing the six PT109s in requirement 1, and (b) the predicted total costs for producing the six PT109s, assuming that there is no learning curve for direct manufacturing labor? That is, for (b) assume a linear function for units produced and direct manufacturing labor-hours