Final answer:
Using the naïve forecasting method, the forecast for the year 2017 would be the same as the last known data point, which is 120,000 for the year 2016.
option a is the correct
Step-by-step explanation:
The student is asking for a forecast for the year 2017 using the naïve forecasting method.
This method assumes that the value in the next time period will be the same as the value in the latest time period. In this case, the forecast for 2016 was 120,000. Therefore, according to the naïve forecasting method, the forecast for 2017 would also be 120,000.