Quiz 3 MBA 6325

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University of Houston, Downtown *

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6325

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Statistics

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Apr 3, 2024

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Score for this quiz: 1.9 out of 2 Submitted Mar 23 at 10:51pm This attempt took 81 minutes. Question 1 0.2 / 0.2 pts A set of observations on a variable measured at successive points in time or over successive periods of time constitute a time invariant set logarithmic series geometric series time series Question 2 0.2 / 0.2 pts Which of the following is not true of a stationary time series? The variability is constant over time. The time series plot is a straight line. The process generating the data has a constant mean. The statistical properties are independent of time. Question 3 0.2 / 0.2 pts With reference to time series data patterns, a cyclical pattern is the component of the time series that does not vary with respect to time. is characterized by a linear variation of the dependent variable with respect to time. shows a periodic pattern lasting one year or less. shows a periodic pattern lasting more than one year. Question 4

0.2 / 0.2 pts If the forecasted value of the time series variable for period 2 is 22.5 and the actual value observed for period 2 is 25, what is the forecast error in period 2? 3 2 -2.5 2.5 Question 5 0.2 / 0.2 pts A positive forecast error indicates that the forecasting method overestimated the dependent variable. True False Question 6 0.2 / 0.2 pts The moving averages method refers to a forecasting method that uses the average of the most recent data values in the time series as the forecast for the next period. True False Question 7 0.2 / 0.2 pts A time series with a seasonal pattern can be modeled by treating the season as a predictor variable. True

False Question 8 0.2 / 0.2 pts Forecasting is more accurate for short term than long term. True False Question 9 0.2 / 0.2 pts When using regression analysis to find a best-fitting line to a set of time series data with trend, we can one of the following models: linear trend model, trend model, and model. Answer 1: nonlinear Answer 2: autoregressive Partial Question 10 0.1 / 0.2 pts Bigger used in the moving average method can more random fluctuation, while bigger used in the exponential smoothing method can put weight on current. Answer 1: smooths out Answer 2: more Quiz Score: 1.9 out of 2

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