Overall Consumer Satisfaction. Responses vary from Poor to Excellent. I have 4 predictor categories: Food, Menu, Facility, Team. Each category has some questions. When I calculate the correlation, these questions show strong response with the category and also across categories.

So do you suggest that I carry on with my original data (with seasonality). Is the ARIMA model correct or should I keep exploring other techniques.

@DavidArenburg: I removed the seasonal component because the data is revenue against time. I don't think that seasonality plays an important part in this data and that there must be some other underlying factor.

@DavidArenburg: Thanks David. I thought the same but still had my doubts. I have added some things to my question. Could you please go over them. Thanks.

Hi Stephan, I have added the data and the plot for my dataset. As you can see that I have only 27 data points, so I am running on fumes here. Could you suggest something here.