MBA Business Statistics MCQs – Practice Test 2 (Chapter 11)

Time Series Analysis and Forecasting MCQ with Answers PDF Download – Test 2

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Time Series Analysis and Forecasting MCQ – Practice Test 2 PDF Download

MCQ 6: The process of removing seasonality of data in forecasting of seasonal fluctuations is known to be:

Nonlinearization
By-seasonalization
De-seasonalization
Nonseasonalization

MCQ 7: In the graphical curve fitting model, drawing a smooth line is performed at:

Step 2
Step 3
Step 4
Step 5

MCQ 8: A trend is usually a result of long-term factor(s) known as:

Increase/decrease in population
Technology change
Consumer preferences
All of the Above

MCQ 9: Variations other than trend, seasonal and cyclical variations are known to be:

Residual variations
Random variations
Irregular variations
All of the Above

MCQ 10: Graphical curve fitting method of the trend forecasting performs prediction of future values at the:

Step 3
Step 4
Step 5
Step 6

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

Time Series Analysis and Forecasting MCQs

Linear Regression Model MCQs

Inference about Means and Proportions with Two Populations MCQs

Data and Statistics MCQs

Introduction to Probability MCQs

Multiple Regression Model MCQs

Inference About Population Variances MCQs

Interval Estimation MCQs

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