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BUSINESS ANALYTICS FOUNDATION WITH R
TOOLS
Lesson 4 - Predictive Modeling Techniques
Copyright 2016, Beamsync, All rights reserved.
Part 9
The parameter α in Holt Winters package is for?
a. Data SmoothingAverage
b. SlopeTrend
c. Smoothingconstant
d. Seasonality factor
Copyright 2016, Beamsync, All rights reserved.
a. Data SmoothingAverage
b. SlopeTrend
c. Smoothingconstant
d. Seasonality factor
Answer:a.
Explanation: The parameter α in Holt Winters package is for Data Smoothing Average
The parameter α in Holt Winters package is for?
Copyright 2016, Beamsync, All rights reserved.
ETS modelsare?
a. Stationary
b. Non-stationary
c. Causal
d. Non-Causal
Copyright 2016, Beamsync, All rights reserved.
a. Stationary
b. Non-stationary
c. Causal
d. Non-Causal
Answer:b.
Explanation: ETS models are Non-stationary.
ETS models are?
Copyright 2016, Beamsync, All rights reserved.
The parameter γ in Holt Winter package is for?
a. Seasonality factor
b. Data SmoothingAverage
c. Smoothingconstant
d. SlopeTrend
Copyright 2016, Beamsync, All rights reserved.
a. Seasonality factor
b. Data SmoothingAverage
c. Smoothingconstant
d. SlopeTrend
Answer:c.
Explanation: The parameter γ in Holt Winter package is for smoothing constant for the
seasonal factor
The parameter γ in Holt Winter package is for?
Copyright 2016, Beamsync, All rights reserved.
Thank You
Beamsync is one of the top training centre for business analytics training in
Bangalore. You will get certification along with training courses. For more
details click here: http://beamsync.com/business-analytics-training-bangalore/
Copyright 2016,Beamsync, All rights reserved.

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Business Analytics Foundation with R Tools Part 9

  • 1. BUSINESS ANALYTICS FOUNDATION WITH R TOOLS Lesson 4 - Predictive Modeling Techniques Copyright 2016, Beamsync, All rights reserved. Part 9
  • 2. The parameter α in Holt Winters package is for? a. Data SmoothingAverage b. SlopeTrend c. Smoothingconstant d. Seasonality factor Copyright 2016, Beamsync, All rights reserved.
  • 3. a. Data SmoothingAverage b. SlopeTrend c. Smoothingconstant d. Seasonality factor Answer:a. Explanation: The parameter α in Holt Winters package is for Data Smoothing Average The parameter α in Holt Winters package is for? Copyright 2016, Beamsync, All rights reserved.
  • 4. ETS modelsare? a. Stationary b. Non-stationary c. Causal d. Non-Causal Copyright 2016, Beamsync, All rights reserved.
  • 5. a. Stationary b. Non-stationary c. Causal d. Non-Causal Answer:b. Explanation: ETS models are Non-stationary. ETS models are? Copyright 2016, Beamsync, All rights reserved.
  • 6. The parameter γ in Holt Winter package is for? a. Seasonality factor b. Data SmoothingAverage c. Smoothingconstant d. SlopeTrend Copyright 2016, Beamsync, All rights reserved.
  • 7. a. Seasonality factor b. Data SmoothingAverage c. Smoothingconstant d. SlopeTrend Answer:c. Explanation: The parameter γ in Holt Winter package is for smoothing constant for the seasonal factor The parameter γ in Holt Winter package is for? Copyright 2016, Beamsync, All rights reserved.
  • 8. Thank You Beamsync is one of the top training centre for business analytics training in Bangalore. You will get certification along with training courses. For more details click here: http://beamsync.com/business-analytics-training-bangalore/ Copyright 2016,Beamsync, All rights reserved.