Displaying 1 result from an estimated 1 matches for "proportion_female_labour".
2018 May 25
0
Query on the Arimax modeling results
...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 in...