Hello, I am trying to solve this problem and keep receiving that I am only getting 80% of it right. Can someone help me?

The options to select from are :

-Simple Moving Average

-Linear Regression

-Linear Regression for Seasonality

-Exponential Smoothing Average

-Naive

This is the question:

Match the characteristics on the left with the most appropriate forecasting methods to which it applies on the right. It reqUIres only one Naive v historical data value. It adapts readily to sudden shifts in data pattern. Exponential smoott V It reqUIres the data Simple moving aver V points in the time series as well as the number of periods used in forecasting. It is a weighted average Exponential smoott v of all prior historical actual vales. It uses the "best t" linear trend line to make Linear regression V predictions. It uses Indlcator Linear regression to v variables to capture variations