1. Recommend a forecasting method for each product on the basis of a review of the data. Calculate forecasts for each month in the table, plus forecasts for July and August of the current year.
2. Evaluate the performance of your recommended forecasting method using common measures of forecast error and compare it to the performance of the current forecasting method.
3. Discuss the conditions and factors that might lead you to try other forecasting methods, such as qualitative or causal models. What types of data might be used as an independent variable for a company with products like those of Personal Care Grooming?