How to run a multiple linear regression in xlstat

#How to run a multiple linear regression in xlstat series

In addition, you would need to identify outliers such as additive/pulse (one time event) or level shift (permanent shift) and add them as regressors. Holidays that are fixed dates will be automatically taken care of if you are using dummy coding scheme for capturing seasonality. You would also need to add moving Holidays indicator variables, for example as Irishstat pointed out you would want to add Easter/Thanksgiving (in US) which are moving Holidays. Having said that if you have a priori knowledge about the lead and lag effect, create additional variables in your case dummy variables before and after price point and (yes/no) promotion change. See this example I posted earlier, where there isДЄn intervention(in your case price point) and there is an abrupt Modeling which is parsimonoius and can handle any type of lead and Using multiple regression, you would want to use transfer function Today, you might have a increase in sales today but the effect of Immediate effect on your response, i.e., there may be lagging andДЄ decaying/permanent effect. You mention price point promotional flag, they might not have

#How to run a multiple linear regression in xlstat series

This is a time series data, so care should be taken about lead and Trend variable such as quadratic/cubic/log If the time series exhibits nonlinear trend, add a nonlinear time If the time series exhibits linear trend, then add a time trend To capture month of the year, create 11 dummy variables.Д¬reate dummy variable for trend variables:.To capture day of the month seasonality, create 30 dummy variables.To capture day of the week seasonality, create 6 dummy variables.If it is a daily data then I would do the following:Д¬reate a dummy variable for different seasonality: Covered pretty much what I was about to say, but I would respond with my own personal experience in modeling these data with time series regression and OLS regression.