The Blue Seas Company, which is under contract to the U.S. Navy, assembles troop deployment boats. Blue Seas reports the following cost information for the first PT109 (Click the icon to view the additional information.) (Click the icon to view the cost information.) Read the requirements. Requirement 1. Prepare a prediction of the total costs for producing the six PT109s for the Navy. Begin by calculating the cumulative total time in labor-hours. (Round all answers to the nearest whole number.) More info As part of its research program, it completes the assembly of the first of a new model (PT109) of deployment boats. The Navy is impressed with the PT109. It requests that Blue Seas submit a proposal on the cost of producing another six PT109s. Blue Seas reports the following cost information for the first PT109 assembled. Data table 1 Using the formula for a 90% learning curve, b=ln2ln0.90=0.6931470.105361=0.152004 2 Tooling can be reused at no extra cost because all of its cost has been assigned to the first deployment boat. Requirements 1. Prepare a prediction of the total costs for producing the six PT109s for the Navy. 2. Compare the cost predictions from requirement 1 (incremental unit-time learning model) with the cost predictions based on a cumulative average-time learning model which has total costs of $5,332,343. Why are the predictions different? How should Blue Seas decide which model it should use? Cumulative average-time learning model's cumulative average time per unit and cumulative total time: The Blue Seas Company, which is under contract to the U.S. Navy, assembles troop deployment boats. Blue Seas reports the following cost information for the first PT109 (Click the icon to view the additional information.) (Click the icon to view the cost information.) Read the requirements. Requirement 1. Prepare a prediction of the total costs for producing the six PT109s for the Navy. Begin by calculating the cumulative total time in labor-hours. (Round all answers to the nearest whole number.) More info As part of its research program, it completes the assembly of the first of a new model (PT109) of deployment boats. The Navy is impressed with the PT109. It requests that Blue Seas submit a proposal on the cost of producing another six PT109s. Blue Seas reports the following cost information for the first PT109 assembled. Data table 1 Using the formula for a 90% learning curve, b=ln2ln0.90=0.6931470.105361=0.152004 2 Tooling can be reused at no extra cost because all of its cost has been assigned to the first deployment boat. Requirements 1. Prepare a prediction of the total costs for producing the six PT109s for the Navy. 2. Compare the cost predictions from requirement 1 (incremental unit-time learning model) with the cost predictions based on a cumulative average-time learning model which has total costs of $5,332,343. Why are the predictions different? How should Blue Seas decide which model it should use? Cumulative average-time learning model's cumulative average time per unit and cumulative total time