![]() So here is my question: How can I do a regression analysis on revenue, regarding the time factor and also different other variables like GDP, "manager's 6 month expectation"-index. The revenue of course has some seasonality, in the 3rd quarter there is always a peak for the year. With that I mean seasonality and things like that. To counter that problem I tried to find a solution, but only found some regarding the time aspect. Thus, while other products (R, Stata, etc.) can produce very nice graphs, none does as good a job at making the interface user. I would also like to commend what I see as SPSS's major strength: The graphic user interface. The revenue and my other variables are time series, so they mostly aren't independent on their own. So changing the the way SPSS does line-graph legends will make the behavior more consistent across similar graph types. My problem is now, that I got quite confused/lost in trying to find out, how to do my analysis. Considering the fact that i only have 6*4=24 observations, the regression won't be too accurate I guess, but that can't be changed, so I have to ignore that. GDP) and their availability I aggregated them up to quarters. ![]() The data I have on our revenue is on a daily basis, but considering the independent variables I use (e.g. ![]() I'm trying to do a regression analysis on revenue for the past 6 years (not taking 2020 into account, due to corona-related differences). I tried to find similar questions on this topic but couldn't find anything that helped me with my problem, so I will try to explain it on my own.
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