Question: Can please thoroughly explain how to solve? A new concierge clinic specializing in allergy treatments is open only Monday through Thursday. Patients pay a monthly

Can please thoroughly explain how to solve? A new

Can please thoroughly explain how to solve?

A new concierge clinic specializing in allergy treatments is open only Monday through Thursday. Patients pay a monthly membership fee and as needed see one of their doctors for allergy related issues without making advance appointments. The clinic guarantees weighting times of 30 minutes or less. So, forecasting the number patients visiting the clinic is quite important. The data showed that the number of patients seeking to be seen varies by the day of the four day workweek (hence, 4 seasons). The data from the most recent week and the seasonal indexes are shown below. Also, the regression line for de-seasonalized data is provided: y = 20.3 + 1.2t Actual # of Seasonal t Index patients 25 Mon 1 1.1 Tue 21 0.9 0.8 Wed AWN 18 Thu 27 1.2 Carry two decimals. 23.65 30.12 28.93 14. What is the forecast for the next Monday (period 5)? 35.88 29.07 30.21 15. Calculate the forecast for their busiest workday next week. A new concierge clinic specializing in allergy treatments is open only Monday through Thursday. Patients pay a monthly membership fee and as needed see one of their doctors for allergy related issues without making advance appointments. The clinic guarantees weighting times of 30 minutes or less. So, forecasting the number patients visiting the clinic is quite important. The data showed that the number of patients seeking to be seen varies by the day of the four day workweek (hence, 4 seasons). The data from the most recent week and the seasonal indexes are shown below. Also, the regression line for de-seasonalized data is provided: y = 20.3 + 1.2t Actual # of Seasonal t Index patients 25 Mon 1 1.1 Tue 21 0.9 0.8 Wed AWN 18 Thu 27 1.2 Carry two decimals. 23.65 30.12 28.93 14. What is the forecast for the next Monday (period 5)? 35.88 29.07 30.21 15. Calculate the forecast for their busiest workday next week

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