MBA Business Statistics MCQs – Practice Test 6 (Chapter 11)

Time Series Analysis and Forecasting MCQ with Answers PDF Download – Test 6

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Time Series Analysis and Forecasting MCQ – Practice Test 6 PDF Download

MCQ 26: A sustained period of high values followed by low values is known to be:

Trend variations
Seasonal variations
Random/irregular variations
Cyclic variations

MCQ 27: Plan of action at the third step of graphical curve fitting method to find trend forecasting, is to:

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

MCQ 28: A business cycle is a good example of time series data type known as:

Random/irregular variations
Cyclic variations
Seasonal variations
Trend variations

MCQ 29: How well a particular forecasting method is able to reproduce the available time series data can be determined by:

Pattern plot
Forecast accuracy
Prediction
Error factor

MCQ 30: Plotting the actual data in the graphical curve fitting model of forecasting is performed at:

Step 1
Step 2
Step 3
Step 4

Time Series Analysis and Forecasting MCQ App & e-Book – MBA Business Statistics Entrance Exam

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