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Calculating residuals from regression

Your previous model that predicts the log of sales from the log of price along with holiday and promotion effects is saved in the model_MET_hi_full object. Your data frame that has the data that built this model is in the object MET_hi_train. Now let's see where we went wrong.

This exercise is part of the course

Forecasting Product Demand in R

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Exercise instructions

  • Calculate the residuals from the model model_MET_hi_full and save as MET_hi_full_res.
  • Convert these residuals into an xts object. Remember your date index is stored as dates_train.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Calculate the residuals from the model
MET_hi_full_res <- ___(___)

# Convert the residuals to an xts object
MET_hi_full_res <- xts(___, order.by = ___)
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