Essentials of Business Analytics (MindTap Course List)
Essentials of Business Analytics (MindTap Course List)
2nd Edition
ISBN: 9781305627734
Author: Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson
Publisher: Cengage Learning
bartleby

Concept explainers

bartleby

Videos

Textbook Question
Book Icon
Chapter 8, Problem 26P

South Shore Construction builds permanent docks and seawalls along the southern shore of Long Island, New York. Although the firm has been in business only five years, revenue has increased from $308,000 in the first year of operation to $1,084,000 in the most recent year. The following data show the quarterly sales revenue in thousands of dollars:

Chapter 8, Problem 26P, South Shore Construction builds permanent docks and seawalls along the southern shore of Long

  1. a. Construct a time series plot. What type of pattern exists in the data?
  2. b. Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data: Qtr1 = 1 if quarter I, 0 otherwise; Qtr2 = 1 if quarter 2, 0 otherwise; Qtr3 = 1 if quarter 3, 0 otherwise.
  3. c. Based on the model you developed in part (b), compute estimates of quarterly sales for year 6.
  4. d. Let Period = 1 refer to the observation in quarter 1 of year 1; Period = 2 refer to the observation in quarter 2 of year 1; … and Period = 20 refer to the observation in quarter 4 of year 5. Using the dummy variables defined in part (b) and the variable Period, develop an equation to account for seasonal effects and any linear trend in the time series.
  5. e. Based on the seasonal effects in the data and linear trend estimated in part (c), compute estimates of quarterly sales for year 6.
  6. f. Is the model you developed in part (b) or the model you developed in part (d) more effective? Justify your answer.
Blurred answer
Students have asked these similar questions
In the following table, the heights and salaries of the knights of 12 kingdoms have been collected. In the table, the lengths are in centimeters and the wages are in the monetary unit of the kingdom in question. (This is the table) Lenght    Salary183    100160    92196    106186    92195    109182    101208    116169    96166    94198    101145    93168    96 So the questions regarding this table would be: (a) Fit a linear regression model to the data and determine its PNS estimates αˆ and βˆ.(b) Calculate the prediction for a knight's salary when that knight is 181 centimeters tall.(c) Estimate the variance parameter σ2 of the linear model. R software or other software for linear regressions should not be used to solve this.
Consider the following time series:   Quarter Year 1 Year 2 Year 3 1 66 63 57 2 48 40 50 3 59 61 54 4 73 76 67     (a) Choose a time series plot.   (i)   (ii)   (iii)   (iv)         What type of pattern exists in the data? Is there an indication of a seasonal pattern?     (b) Use a multiple linear regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data: Qtr1 = 1 if quarter 1, 0 otherwise; Qtr2 = 1 if quarter 2, 0 otherwise; Qtr3 = 1 if quarter 3, 0 otherwise. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank (Example: -300).   ŷ = ?? + ?? Qtr1 +??  Qtr2 + ?? Qtr3 (c) Compute the quarterly forecasts for next year.   Year Quarter Ft 4 1   4 2   4 3   4 4
The president of small manufacturing firm is concerned about the continual increase in manufacturing costs over the past several years. The following figures provide a time series of the cost per unit for the firm’s leading product over the past eight years. Year Cost/Unit ($) Year Cost/Unit ($) 1 20.00 5 26.60 2 24.50 6 30.00 3 28.20 7 31.00 4 27.50 8 36.00   Construct a time series plot. What type of pattern exists in the data? Use simple linear regression analysis to find the parameters for the line that minimizes MSE for this time series. What is the average cost increase that the firm has been realizing per year? Compute an estimate of the cost/unit for next year.

Chapter 8 Solutions

Essentials of Business Analytics (MindTap Course List)

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
Recommended textbooks for you
Text book image
Functions and Change: A Modeling Approach to Coll...
Algebra
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
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