APPLIED STAT.IN BUS.+ECONOMICS
APPLIED STAT.IN BUS.+ECONOMICS
6th Edition
ISBN: 9781259957598
Author: DOANE
Publisher: RENT MCG
bartleby

Concept explainers

bartleby

Videos

Textbook Question
Book Icon
Chapter 14, Problem 34CE

The following seasonal regression was fitted with quarterly seasonal binaries beginning in the first quarter (Qtr4 is omitted to avoid multicollinearity). Make a prediction for yt in period (a) t = 21; (b) t = 8; (c) t = 15.

yt = 213 + 11 t − 9 Qtr1 + 12 Qtr2 − 15 Qtr3.

Blurred answer
Students have asked these similar questions
Consider the following hypothetical regression, with FAIL? as a dummy variable for if a business failed in its first year (1=failed, 0=didn’t fail); LOAN is how much money, in thousands of dollars, the business got as a loan when it started; GIG? is a dummy variable for if there was a gig economy job available, such as driving for Lyft (1=available, 0=not available), and COMP is the number of existing competitors the business faced when it started. All variables are statistically significant.   FAIL? = 0.63 – 0.01*LOAN – 0.08*GIG? + 0.05*COMP Answer the following: Determine the predicted value of FAIL? if the business had a $30,000 loan, there was no gig economy, and four competitors. In everyday language, what does the estimated value found in A mean? If a business gets an additional six thousand dollars in loans, how would FAIL? change? Give the “punchline” interpretation of the COMP variable: “For every additional competitor…”
Consider the multiple regression for the following experiment: yi=b0+b1x1i+b2x2i+b3x3i+ei Where yi is the number of touchdowns, x1i is rushing yards, x2i is passing yards, and x3i is the “time of possession of the football” in minutes for that football team.  Which of the following statements is true when making an interpretation of the sample slope coefficient?     a)  a.    b2 represents the marginal change in passing yards for every additional touchdown, holding the other variables constant   b)  b.    b2 represents the marginal change in touchdowns for every additional passing yard, holding the other variables constant   c)  c.    b1 represents the marginal change in touchdowns for every additional passing yard, holding the other variables constant   d)  d.    b3 represents the marginal change in touchdowns for every additional minute of time of possession, holding touchdowns constant
The following data came from 6 people randomly selected from a population of children between the ages of 10 and 17.  It shows their age and the number of push-ups they can do.       Based on the linear regression equation, what expectation, on average, would we have for the number of push-ups 15-year olds can do? Round to the nearest whole number.

Chapter 14 Solutions

APPLIED STAT.IN BUS.+ECONOMICS

Ch. 14 - Name two advantages and two disadvantages of each...Ch. 14 - When would the exponential trend model be...Ch. 14 - Explain how to obtain the compound percent growth...Ch. 14 - (a) When might a quadratic model be useful? (b)...Ch. 14 - Name five measures of fit for a trend, and state...Ch. 14 - Prob. 10CRCh. 14 - Prob. 11CRCh. 14 - Prob. 12CRCh. 14 - (a) Why is seasonality irrelevant for annual data?...Ch. 14 - Prob. 14CRCh. 14 - (a) Explain how seasonal binaries can be used to...Ch. 14 - What is the purpose of index numbers?Ch. 14 - (a) Make a line chart for JetBlues revenue. (b)...Ch. 14 - (a) Plot both Swiss watch time series on the same...Ch. 14 - (a) Make a line graph of the U.S. civilian labor...Ch. 14 - (a) Plot the voter participation rate. (b)...Ch. 14 - For each of the following fitted trends, make a...Ch. 14 - (a) Make a line graph of consumer credit...Ch. 14 - (a) Plot the data on U.S. general aviation...Ch. 14 - Prob. 17CECh. 14 - (a) Plot either receipts and outlays or federal...Ch. 14 - Prob. 19CECh. 14 - (a) Plot the data on leisure and hospitality...Ch. 14 - Prob. 21CECh. 14 - Prob. 22CECh. 14 - (a) Plot the data on skier/snowboard visits. (b)...Ch. 14 - Prob. 24CECh. 14 - (a) Plot U.S. petroleum imports on a graph. (b)...Ch. 14 - (a) Make a line chart and fit an m-period moving...Ch. 14 - Refer to exercise 14.26. (a) Plot the dollar/pound...Ch. 14 - (a) Plot the data on natural gas bills. (b) Can...Ch. 14 - (a) Plot the data on air travel delays. (b) Can...Ch. 14 - (a) Plot the data on airplane shipments. (b) Can...Ch. 14 - (a) Plot the data on revolving credit (credit...Ch. 14 - The following seasonal regression was fitted with...Ch. 14 - The following seasonal regression was fitted with...
Knowledge Booster
Background pattern image
Statistics
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Similar questions
SEE MORE QUESTIONS
Recommended textbooks for you
Text book image
College Algebra
Algebra
ISBN:9781938168383
Author:Jay Abramson
Publisher:OpenStax
Text book image
Glencoe Algebra 1, Student Edition, 9780079039897...
Algebra
ISBN:9780079039897
Author:Carter
Publisher:McGraw Hill
Text book image
Functions and Change: A Modeling Approach to Coll...
Algebra
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Cengage Learning
Text book image
College Algebra
Algebra
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:Cengage Learning
Text book image
Algebra and Trigonometry (MindTap Course List)
Algebra
ISBN:9781305071742
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:Cengage Learning
Correlation Vs Regression: Difference Between them with definition & Comparison Chart; Author: Key Differences;https://www.youtube.com/watch?v=Ou2QGSJVd0U;License: Standard YouTube License, CC-BY
Correlation and Regression: Concepts with Illustrative examples; Author: LEARN & APPLY : Lean and Six Sigma;https://www.youtube.com/watch?v=xTpHD5WLuoA;License: Standard YouTube License, CC-BY