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Linear Model or Time Series Model or ANOVA?

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I have some data:

column 1 = dates (daily data from say 1st Jan 2014 to 1 July 2014)

column 2 = person (about 10 different people)

column 3 = sales made (daily data from say 1st Jan 2014 to 1 July 2014)

I calculated what periods the particular person was 'working' vs 'on holiday' vs 'weekend' in column 4 (unfair to say anyone will make sales in the weekend).

I want to determine if holiday has a significant effect of revenue. Can I use a normal linear model or do I need a time series model? Is the person irrelevant in this case?

Would 'working', 'on holiday', and 'weekend' be groups and I run an ANOVA?

Thank you.


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