Companies A and B are both U.S. companies with operations in Mexico. The regression equations explaining are given below: Company A: PCFt=0.032 −2.7et+μtPCFt=0.032 -2.7et+μt Company B: PCFt=0.005+3.5et+μtPCFt=0.005+3.5et+μt where: PCFt = percentage change in annual U.S. dollar cash flows et = percentage change in the exchange rate for the Mexican peso (measured in U.S. dollars per peso)   Part 1

Demand is forecasted using the following regression equation: D = 100 + 15(t) where “t” is a specified future time period. The current time period is 0 (t=0). The machines used to make this product have a capacity of 50 units/time period. The company currently has 4 machines yielding a total capacity of 200 units/time period. Due to technology changes, the current equipment will become obsolete at the end of period 15. If a new machine costs $2000, and the net revenue earned per unit is $10, how many machines should be added between today (t=0) and the end of period 15?

10 Dr. Lillian Fok, a New Orleans psychologist, specializes in treating patients who are agoraphobic (i.e., afraid to leave their homes). The following table indicates how many patients Dr. Fokh each year for the past 10 years. It also indicates what the robbery rate was in New Orleans during the same year: ! 1 F1 A 1 option Year Number of Patients Robbery Rate per 1,000 Population The simple linear regression equation that shows the best relationship between the number of patients and the robbery rate is (round your responses to three decimal places): ŷ=0+0x N @ 2 W S X command A where y Number of Patients and x = Robbery Rate. In year 11, if the robbery rate increases to 133.40, using trend analysis, the number of patients Dr. Fok will see = patients (round your response to two decimal places). In year 11, if the robbery rate decreases to 90.6, using trend analysis, the number of patients Dr. Fok will see = patients (round your response to two decimal places). #3 80 F3 E D $ 4 C 888…

Picture