For Quantitative Forecasting we do the following: (Choose all that apply)

Group of answer choices

Select best method

Monitor continuously forecast accuracy

Evaluate forecasts

Forecast the future

Select several forecasting methods

'Forecast' the past

Flag question: Question 2Question 25 pts

ARIMA stands for Auto-Regressive Improved Moving Average

Group of answer choices

True

False

Flag question: Question 3Question 35 pts

Components of Time Series: (Choose all that apply)

Group of answer choices

Seasonal Variation

Irregular Variation

Cyclical Variation

Secular Trend

Regular trend

Flag question: Question 4Question 45 pts

Time series models can be classified into two types: Additive model & multiplicative model?

Group of answer choices

True

False

Flag question: Question 5Question 55 pts

Secular Trend is: (Choose all that apply)

Group of answer choices

Several years duration

Due to population, technology etc

Regular pattern of up & down fluctuations

Due to weather, customs etc

Persistent, overall upward or downward pattern

Occurs within one year

Flag question: Question 6Question 65 pts

Seasonal variations have no fixed period where are cyclical variations is unchanging and associated with some aspect of the calendar

Group of answer choices

True

False

Flag question: Question 7Question 75 pts

Seasonal variation is: (Choose all that apply)

Group of answer choices

Due to weather, customs etc

Regular pattern of up & down fluctuations

Repeating up & down movements

Due to interactions of factors influencing economy

Usually 2-10 years duration

Occurs within one year

Flag question: Question 8Question 85 pts

Cyclical Variations are due to weather, customs etc

Group of answer choices

True

False

Flag question: Question 9Question 95 pts

Possible causes of random or irregular Time Series component: (Choose all that apply)

Group of answer choices

Unseasonable weather/natural disasters

Strikes

Accidents or unusual events

Flag question: Question 10Question 105 pts

Qualitative Methods forecasting approach, you need Data ?

Group of answer choices

True

False