Using coding language R, solve for:This question uses Microsoft's quarterly sales (millions of US dollars).  The data file is available under the week 3 module. Use 2001:1 to 2017:4 for training and 2018:1 to 2022:3 for testing. The random walk with drift  MASE from the test data is

 

A) 1.42

B) 3.50

C) 4.23

D) 3.54

 

Continuing with question 10, the sales forecast for 2023 Q4 from the random walk with drift model is:

 

A) 21686

B) 52663

C) 54111

D) 54188

 

Perform time series cross-validation on the data for Microsoft's quarterly sales (millions of US dollars). Use a random walk with drift for the forecast function. The MAE at step 6 is:

 

A) 2952

B) 3026

C) 2372

D) 1736

 

This question uses Microsoft's quarterly sales (millions of US dollars). The data file is available under the week 3 module. Plot the ACF.  The ACF shows:

 

A) seasonal

B) cycle

C) trend

D) trend and seasonal

Transcribed Image Text:

Calendar Data Year and Quarter Sales/Turnover (Net) 2001Q1 6403 2001Q2 6577 2001Q3 6126 2001Q4 7741 2002Q1 7245 2002Q2 7253 2002Q3 7746 2002Q4 8541 2003Q1 7835 2003Q2 8065 2003Q3 8215 2003Q4 10153 2004Q1 9175 2004Q2 9292 2004Q3 9189 2004Q4 10818 2005Q1 9620 2005Q2 10161 2005Q3 9741 2005Q4 11837 2006Q1 10900 2006Q2 11804 2006Q3 10811 2006Q4 12542 2007Q1 14398 2007Q2 13371 2007Q3 13762 2007Q4 16367 2008Q1 14454 2008Q2 15837 2008Q3 15061 2008Q4 16629 Calendar Data Year and Quarter Sales/Turnover (Net) 2001Q1 6403 2001Q2 6577 2001Q3 6126 2001Q4 7741 2002Q1 7245 2002Q2 7253 2002Q3 7746 2002Q4 8541 2003Q1 7835 2003Q2 8065 2003Q3 8215 2003Q4 10153 2004Q1 9175 2004Q2 9292 2004Q3 9189 2004Q4 10818 2005Q1 9620 2005Q2 10161 2005Q3 9741 2005Q4 11837 2006Q1 10900 2006Q2 11804 2006Q3 10811 2006Q4 12542 2007Q1 14398 2007Q2 13371 2007Q3 13762 2007Q4 16367 2008Q1 14454 2008Q2 15837 2008Q3 15061 2008Q4 16629