# All of these choices seasonal component base series

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all of these choices seasonal component base series trend cyclic component
1 / 1 pts Question 12 An equation for the random walk model is given by the equation: , where is the change in the time series from time t to time t – 1, is a constant, and a random variable (noise) with mean 0 and some standard deviation is .
3/10/2021 Ch 12 - Quiz - Time Series & Forecasting: EM 531 - Engineering Mgmt Analysis (21386)
6/11 1 / 1 pts Question 15 We compare the percent of variation explained R for a regression model with seasonal dummy variables to the MAPE for the smoothing model with seasonality to see which model is more accurate. 2
1 / 1 pts Question 13 The null hypothesis in a runs test is the data series is random.
1 / 1 pts Question 14 The seasonal component of a time series is more likely to exhibit the relatively steady growth of a variable, such as the population of Egypt from 35 million in 1960 to 93 million in 2016.
3/10/2021 Ch 12 - Quiz - Time Series & Forecasting: EM 531 - Engineering Mgmt Analysis (21386) False True
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1 / 1 pts Question 16 To calculate the five-period moving average for a time series, we average the values in the two preceding periods, and the values in the three following time periods.
1 / 1 pts Question 17 If the observations of a time series increase or decrease regularly through time, we say that the time series has a random (or noise) component.
1 / 1 pts Question 18 In a moving averages method, which of the following represent(s) the number of terms in the moving average?
3/10/2021 Ch 12 - Quiz - Time Series & Forecasting: EM 531 - Engineering Mgmt Analysis (21386) the explanatory variables a smoothing constant a span 1 / 1 pts Question 19 The linear trend was estimated using a time series with 20 time periods. The forecasted value for time period 21 is: 162 160 122 120
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1 / 1 pts Question 20 When using exponential smoothing, a smoothing constant must be used. The value for :