100% satisfaction guarantee Immediately available after payment Both online and in PDF No strings attached
logo-home
Previously searched by you
Previously searched by you
logo
MGSC 291 Exam 3 Prep Test Study Questions with Verified Answers Graded A 2025 $12.99
Add to cart
Quickly navigate to
Preview
  2.  
  3. University Of South Carolina
  4.  
  5. MGSC 291

Exam (elaborations)

MGSC 291 Exam 3 Prep Test Study Questions with Verified Answers Graded A 2025
 0 purchase

What is the first step in processing you data for a time series analysis in R? - make all data factors - make date variable a factor with the factor() function -make date variable be recognized as a date in R with the as.Date() function - Correct Ans-make date variable be recognized as a date in...

[Show more]

Preview 2 out of 6  pages

Document information

  • November 27, 2024
  • 6
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers

Subjects

Written for

All documents for this subject (27)

Seller

avatar-seller
Bestzone

Reviews received

Content preview

MGSC 291 Exam 3 Prep Test Study
Questions with Verified Answers Graded A
2025
What is the first step in processing you data for a time series analysis in R?
- make all data factors
- make date variable a factor with the factor() function
-make date variable be recognized as a date in R with the as.Date() function - Correct
Ans-make date variable be recognized as a date in R with the as.Date() function

How does R store date variables?
-as factors
-as characters
-as the number of days relative to Jan 1, 1970 - Correct Ans-as the number of days
relative to Jan 1, 1970

In a time series, regular variation that is repeated within a year is called....
-non-stationary
-seasonal variation
-a random walk - Correct Ans-seasonal variation

Which of the following types of series are useless for modeling?
- random walk
- diverging series
- mean reverting, stationary - Correct Ans-diverging series

Which of the following is the most useful type of series for modeling?
- random walk
- diverging series
- stationary, mean reverting - Correct Ans-stationary, mean reverting

Match the coefficient on the AR(1) term in a regression to the correct series - Correct
Ans-

|beta| = 1
- random walk
- mean reverting
-diverging - Correct Ans-random walk

|beta| < 1
- random walk
- mean-reverting
-diverging - Correct Ans-mean reverting

, |beta| > 1
- random walk
- mean reverting
-diverging - Correct Ans-diverging

if you have a random walk, what should you do?
-use the returns transformation for modeling
- incorporate other important trend variables
- scrap the data - this type is useless - Correct Ans-use the returns transformation for
modeling

(WHICH 2 APPLY) What is true about adding higher than AR(1) lags to a model?
- the simple interrelations of the AR(1) term no longer apply
-this model always works better for prediction than the model with only the AR(1) term
-you almost always need to take a log of the response
- if you need higher lags, you might have missed an important trend or seasonality
- you might have modeled the wrong response - Correct Ans-- the simple interrelations
of the AR(1) term no longer apply
- if you need higher lags, you might have missed an important trend or seasonality

A sales price elasticity greater than -1 implies
- an inelastic good
- a good model fit
- a random walk-
-a diverging series - Correct Ans-an inelastic good

When you have multiple stacks of time series, for example a time series of monthly
sales for 185 stores, you have
- a random walk
- a mean reverting time series
- panel data
- no need for fixed effects - Correct Ans-panel data

(WHICH 2 APPLY) Fixed effects are:
- effects that fix your residuals to be uncorrelated
-are different from random effects which allow for correlations between the error terms
-are just simply a way to include factor variables into the regression
-make it unnecessary to check model fit since they fix errors in the regression - Correct
Ans--are different from random effects which allow for correlations between the error
terms
- are just simply a way to include factor variable into the regression

Dependencies in the data often lead to an
-underestimate of uncertainty
-an overestimate of uncertainty
-larger standard errors - Correct Ans-underestimate of uncertainty

The benefits of buying summaries with Stuvia:

Guaranteed quality through customer reviews

Guaranteed quality through customer reviews

Stuvia customers have reviewed more than 700,000 summaries. This how you know that you are buying the best documents.

Quick and easy check-out

Quick and easy check-out

You can quickly pay through credit card or Stuvia-credit for the summaries. There is no membership needed.

Focus on what matters

Focus on what matters

Your fellow students write the study notes themselves, which is why the documents are always reliable and up-to-date. This ensures you quickly get to the core!

Frequently asked questions

What do I get when I buy this document?

You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.

Satisfaction guarantee: how does it work?

Our satisfaction guarantee ensures that you always find a study document that suits you well. You fill out a form, and our customer service team takes care of the rest.

Who am I buying these notes from?

Stuvia is a marketplace, so you are not buying this document from us, but from seller Bestzone. Stuvia facilitates payment to the seller.

Will I be stuck with a subscription?

No, you only buy these notes for $12.99. You're not tied to anything after your purchase.

Can Stuvia be trusted?

4.6 stars on Google & Trustpilot (+1000 reviews)

64257 documents were sold in the last 30 days

Founded in 2010, the go-to place to buy study notes for 15 years now

Start selling

Recently viewed by you

Essay ·

(0)

3.5 Jeugdcriminaliteit
$12.99
  • (0)
Add to cart
Added