Forecast future values of demand
Perfect! You have created the estimated future prices. Now you just need to score these with your regression models to forecast future sales demand for your high end product.
Your validation predictions are in your workspace as MET_hi_valid
. The model with only prices is saved in your workspace as model_MET_hi
.
This exercise is part of the course
Forecasting Product Demand in R
Exercise instructions
- Predict sales for each product for the first 22 weeks of 2017 using the
predict
function. - Convert your predictions back to sales from log of sales!
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Predict the log of sales for your high end product
pred_MET_hi <- ___(___, newdata = ___)
# Convert predictions out of log scale
pred_MET_hi <- exp(___)