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Valencia Products make automobile radar detectors and assembles two models: LaserStop and SpeedBuster. Both models use the same electronic components. For the next month, the supply of these is limited to 5,000 of component A and 4,500 of component B. The number of each component required for each product, the profit per unit, and the resulting linear optimization model are given in the accompanying tables. Complete parts a through d, answering each question independently relative to the original problem. a Click the icon to view the data table and linear optimization model. E> a. If the unit prot for SpeedBuster is decreased to $130, how will the optimal solution and prot change? The optimal solution when the prot for SpeedBuster is decreased to $130 is to produce 0 LaserStop and 384.62 SpeedBuster. This solution gives the maximum possible prot, which is $ 50000 . This solution is the same as the original solution, because the number of LaserStop models produced has stayed the same and the number of SpeedBuster models produced as stayed the same. (Type integers or decimals rounded to two decimal places as needed.) b. If the unit prot for LaserStop is increased to $225, how will the optimal solution and prot change? The optimal solution when the prot for LaserStop is increased to $225 is to produce |:| LaserStop and D SpeedBuster. This solution gives the El possible prot, which is $|:|. This solution El the same as the original solution, because the number of LaserStop models produced has |:| and the number of SpeedBuster models produced as E (Type integers or deci Data Table and Linear Optimization Model Components Requiredl'Unit % A B ProfitlUnit LaserStop 1 7 5 125 Speedbuster 13 9 134 After reviewing the components required and the prot for each model, the firm found the following linear optimization model for prot, where L is the number of LaserStop models produced and S is the number of SpeedBuster models produced. Maximize Prot = 125 L + 134 S 17 L +13 S $5,000 (Component A) 5 L + 9 S s 4,500 (Component B) L a 0 and S 2 0 Gn'l' mnrn hnln