Methods Quiz

What are the types of time series patterns?

• Trend, Seasonality, Cycles, Random

• Upward, Downward, Stable, Fluctuating

• Linear, Exponential, Logarithmic, Polynomial

• Additive, Multiplicative, Exponential, Logarithmic

Which decomposition is most appropriate when the variation in the seasonal pattern appears to be proportional to the level of the time series?

• Multiplicative Decomposition

• Additive Decomposition

• X11 Decomposition

• Seats Decomposition

What is the equation for additive decomposition?

• yt = St + Tt + Rt

• yt = St - Tt - Rt

• yt = St * Tt * Rt

• yt = St / Tt / Rt

When is an additive decomposition most appropriate?

• When the data is transformed using a log function

• When the variation in the seasonal pattern is proportional to the level of the time series

• When the magnitude of the seasonal fluctuations does not vary with the level of the time series

• When the trend-cycle component is constant over time

What is the purpose of moving average smoothing?

• To estimate the trend-cycle component

• To add noise to the data

• To introduce random fluctuations in the data

• To remove outliers from the data

How is the estimate of the trend-cycle obtained in moving average smoothing?

• By fitting a polynomial curve to the data points

• By calculating the standard deviation of the time series

• By averaging values of the time series within k periods of t

• By taking the maximum value in the time series

What is the purpose of weighted moving averages?

• To calculate the median of the time series

• To remove all data points except the last one

• To assign different weights to each data point based on their importance

• To randomly shuffle the data points

In the context of moving averages of moving averages, what does the 2x4-MA represent?

• The average of the first two moving averages

• The average of the averages of the moving averages

• The sum of the first two moving averages

• The product of the first two moving averages

What transformation can be applied to the data before using an additive decomposition?

• Log transformation

• Absolute value transformation

• Exponential transformation

• Square root transformation

Which decomposition method involves measuring the strength of trend and seasonality?

• Stl Decomposition

• Seats Decomposition

• X11 Decomposition

• Classical Decomposition