This is one sub-part of "b," of my question that had been broken down into four parts:
A tourist center is open on weekends (Friday, Saturday, and Sunday). The manager hopes to improve scheduling of part-time employees by understanding if any historical patterns exist in recent data that was collected on recent traffic (i.e., number of tourists) at the center that is shown below:
|
Friday
|
140
|
150
|
155
|
145
|
160
|
150
|
|
Saturday
|
250
|
255
|
260
|
250
|
265
|
270
|
|
Sunday
|
160
|
165
|
170
|
160
|
165
|
170
|
Forecast the number of tourists that are expected to frequent the tourist center on Friday of week 7 using each of the following forecasting methods (make sure that you utilize the entire data set for all 6 weeks in generating the forecasts):
Seasonalized Regression. You should have 3 seasonal indices: one for Friday, one for Saturday and one for Sunday.