Hi R team,
We’ve run Arimax models in R. We had a lot of queries around the interpretation of the outputs. *Dependent variable =* Volume (Growth %) *Independent Variables =* 3 Macroeconomic variables (Growth %) Following is the line of code Arimax.Model <- auto.arima(y = input.data[,"Volume"], xreg = input.data[,model.vars], seasonal = F) Following is the output Series: input.data[, "Volume"] Regression with ARIMA(0,0,0) errors *Coefficients:* * Birth_Rate_Change Proportion_Female_labour Females_20_39* * 97.7658 1.370 19.7528* *s.e. 23.8575 0.305 3.9874* sigma^2 estimated as 4.316: log likelihood=-24.07 AIC=56.15 AICc=61.86 BIC=58.09 *Query – * 1. *Could you help us understand the interpretation of the coefficients obtained? Even if it’s not a growth model, how would we interpret the coefficients?* 2. *Is there a limit on the number of regressors we can get in the model in ARIMAX modeling exercise in R? This is because we are only getting 3 regressors at max.* Will be very thankful if you could provide answers to our queries. Best Regards Regards, Sanchi …………………………… Sanchi Bhatia Senior Analyst | o +91-124-495-3813 | m +91-9810531725 *Absolutdata <https://www.absolutdata.com/>* – *Intelligent Analytics* San Francisco | London | Dubai | New Delhi | Bangalore | Singapore …………………………………………………………………………….……………………..……………… Join us: *Blog <https://www.absolutdata.com/blog/>* | *LinkedIn <https://www.linkedin.com/company/absolutdata-analytics/>* | *Twitter* <https://www.twitter.com/absolutdata/> [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
