MBA Business Statistics Exam MCQs – Practice Test 4 (Chapter 11)

Time Series Analysis and Forecasting Notes Questions with Answers PDF – Test 4

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Time Series Analysis and Forecasting Notes Q&A PDF Download – Practice Test 4

MCQ 16: A measure of forecast accuracy that avoids the problem of positive/negative forecast errors offsetting one another is known as:

Mean standard error
Mean absolute error
Mean residual factor
Mean estimated factor

MCQ 17: In the first step of graphical curve fitting method to find trend forecasting, the basic job is to:

Draw a smooth line
Extending smooth line to predict
Assuming future values
Plotting actual data

MCQ 18: Trend forecasting can be computed by the means of:

One method
Two methods
Three methods
Four methods

MCQ 19: An important factor to understand the behavior of time series in the past is to follow:

Duration
Pattern
Plotting
Seasonality

MCQ 20: To choose an appropriate forecasting method is difficult because of:

Change in level of stationery series
No change in level of stationery series
Change in level of time series
No change in level of time series

Time Series Analysis and Forecasting Exam Prep – MBA Business Statistics Notes App & e-Book

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