In: Operations Management
This data is for forecasting future sale considering additive seasonality approach and answer related questions.
| 
 Time  | 
 Year  | 
 Season  | 
 Sale  | 
| 
 1  | 
 2018  | 
 Q1  | 
 1  | 
| 
 2  | 
 Q2  | 
 7  | 
|
| 
 3  | 
 Q3  | 
 3  | 
|
| 
 4  | 
 Q4  | 
 2  | 
|
| 
 5  | 
 2019  | 
 Q1  | 
 6  | 
| 
 6  | 
 Q2  | 
 8  | 
|
| 
 7  | 
 Q3  | 
 1  | 
|
| 
 8  | 
 Q4  | 
 9  | 
PART a) What is the seasonality index for second season (Q2) ?
Part b)
Assume that we run the regression for the deseasonalized data after calculating seasonality index . We find that regression line slope is 0.4 , and intercept is 2.8. By considering the slope and intercept, what is your final forecast for second season of 2020 by considering both trend and seasonality?
Part c)
Slope = 0.4, intercept =2.8 for deseasonalized data, what is the absolute error of second season of 2018?
Before answering the specific questions, let us have an insight about Forecasting based on Seasonality Trends:

Using above mentioned concepts, let us try to solve the given question:
Answering the specific questions asked in
the problem:
