Discuss the below:
Forecast and Accuracy Measures
Q: Treat each day of week as a different time series. For example, since this flight departs seven days per week, create seven forecasts. Sort the data by day of week and date. Then create scatter plots or line plots of each time series. From the plots, determine what the components of each time series are.
Using the MSE, MAD, MAPE, LAD, select the best model for each of the seven days using root mean squared error (RMSE). You will end up with seven different models to make seven different forecasts. Last, use these models to forecast no shows for each of the days next week (the week beginning on Monday, November 22)
Attachment:- Flight Statistics.rar