I am trying to use Auto ARIMA from BigQuery and I just want to understand the results. That’s what BigQuery is giving me:
Store A
- Non Seasonal P = 0
- Non Seasonal D = 1
- Non Seasonal Q = 1
- Has Drift = False
- Log Likelihood = -7,073.79
- AIC = 14,153.579
- Variance = 4,954,056.028
- Seasonal Period = Yearly
Coeficients from Store A
- ar_coefficients = NULL
- ma_coefficients = -0.80490889915091468
- intercept_or_drift = 42.211438084963184
I trained the model using weekly income
How to fit this information in an equation?