I have monthly deactivation data and i want to forecast 6 months into the future with SAS forecast studio for desktop. If a month has more weekend days this year then deactivations will be lower / if less weekend days in the month the more deactivations. one way i thought of taking care of this is to calculate avg daily deactivations each month (based on working days of the month) then multiply the predictions by the working days in each predicted month. Question is How can i calculate the new Confidence Intervals?
Thanks
i just took a look that the data, i don't think the data in the forecast horizon periods are populated correctly.
1. I assumed the Region is the BY variable. There should be no missing values in the horizon periods.
2. You should populate the weekdays variable for each of the BY variable.
Please take a look at the attached worksheet with the correct horizon data.
I did that but have the following challenge: I have the number of working days for the months i have data how can SAS know the number of working days in the predicted months so the prediction is multiplied byt the number of working days?
ok I did that seems to be working but i noticed the following with the C.I see attached. Very narrow,but not for the out of sample predictions, any explanation for that?
find attached.
thanks
X1 is the dependent var
i just took a look that the data, i don't think the data in the forecast horizon periods are populated correctly.
1. I assumed the Region is the BY variable. There should be no missing values in the horizon periods.
2. You should populate the weekdays variable for each of the BY variable.
Please take a look at the attached worksheet with the correct horizon data.
thank you!!!
at this point can't get more granular data.
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