Question: 1. Create time index t, and 12 dummies (one for each month) and partition the data with a validation period size of 12 and rest

1. Create time index t, and 12 dummies (one for each month) and partition the data with a validation period size of 12 and rest as training. 2. Run a linear trend model +seasonality (drop the April dummy from the model) on the partitioned data. Question: Which of the following statement is true? Training RMSE= 459.05 After controlling for the trend, Sparkling wine sales in January are more than sales in April by 3.05 After controlling for the trend, Sparkling wine sales in January are more than sales in March by 6.23 Validation MAPE =10.04%

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