MBA Business Statistics MCQs – Practice Test 9 (Chapter 11)

Time Series Analysis and Forecasting MCQs with Answers PDF Download – Test 9

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Time Series Analysis and Forecasting MCQs – Practice Test 9 PDF Download

MCQ 41: One of the main drawback of graphical curve fitting is its dependence of forecasting upon:

Smoothness of line
Structural break period
Awareness of time duration
Average of data sections

MCQ 42: Computation of moving average is an alternative approach to:

Graphical linear fitting
Graphical composite fitting
Graphical curve fitting
Graphical discrete fitting

MCQ 43: A time series may show gradual shifts or movements over a long period of time, which exhibits the existence of:

Seasonal pattern
Variability trend
Trend pattern
Stationary pattern

MCQ 44: In seasonal fluctuations, before forecasting there's a need for the removal of:

Seasonality of data
Average of data
Sectioning of data
Error of data

MCQ 45: In the graphical curve fitting model, the smooth line is extended to:

Predict future values
Remove fluctuations
Plot actual data
Estimation

MBA Business Statistics MCQs App & e-Book – Time Series Analysis and Forecasting Study Guide

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