Which of the following time$-$series forecasting smoothing methods is selected as most accurate in this application to track the recent movement of data to forecast COVID mortality?

Group of answer choices

Exponential smoothing with alpha $=0\mathrm{.}9$

Simple average

Linear regression

Naive

Moving average with k$=3$