Statistics for Business and Economics (13th Edition)
13th Edition
ISBN: 9780134506593
Author: James T. McClave, P. George Benson, Terry Sincich
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Textbook Question
Chapter 14.2, Problem 14.19ACI
Yearly price of gold. The price of gold is used by some financial analysts as a barometer of investors’ expectations of inflation, with the price of gold tending to increase as concerns about inflation increase. The table below shows the average annual price of gold (in dollars per ounce) from 1990 through 2015.
a. Compute an exponentially smoothed series for the gold price time series for the period from 1990 to 2015, using a smoothing coefficient of w = .8.
b. Plot the original series and the exponentially smoothed series on the same graph. Comment on the trend observed.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solutionStudents have asked these similar questions
The accompanying data represent health care expenditures per capita (per person) as a percentage of the U.S. gross domestic product (GDP) from 2007 to 2013. Gross domestic product is the total value of all goods and services created during the course
of the year Complete parts (a) through (c) below.
Click the icon to view the data table.
(a) Construct a time-series plot that a politician would create to support the position that health care expenditures are increasing and must be slowed. Choose the correct graph below
OD.
O C.
OB
OA
A
Q
A
Q
Q
25,000+
11,000
Q
Q
3
2
G
HIER
11200
2H
7,000++
C
2013
of
+
2013
2007
2007
Year
Year
Year
(b) Construct a time-series plot that the health care industry would create to refute the opinion of the politician. Choose the correct graph below.
OB.
O C.
O A.
A
Q
A
Q
11,000
Q
(C)
7,000+
201
20
7.000+++++++*
2007
2007
2013
2013
Year
Year
(c) Explain how different measures may be used to support two completely different positions. Choose the correct answer…
The following table reports the percentage of stocks in a portfolio for nine quarters:
a. Construct a time series plot. What type of pattern exists in the data?b. Use trial and error to find a value of the exponential smoothing coefficient a thatresults in a relatively small MSE.c. Using the exponential smoothing model you developed in part b, what is the forecastof the percentage of stocks in a typical portfolio for the second quarter of year 3?
The figure below is a time-series graph showing overall death rates (from all causes) in a country for 1900 to 2015. The spike in 1919 was due to a worldwide epidemic of influenza. Write a few sentences summarizing the overall
trend, describing how much the death rate changed over this period of time and putting the 1919 spike into context in terms of its impact on the population.
Death Rate per 1000 Population
20
15
10
5 L ul lu luulu l luulul
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010 2020
Year
Choose the correct answer below.
O A. The death rates have increased by about 30% since the 1920s. The death rate during the influenza epidemic was about half of its current rate.
O B. The death rates have decreased by about 50% since the 1920s. The death rate during the influenza epidemic was over four times its current rate.
C. The death rates have decreased by about 50% since the 1920s. The death rate during the influenza epidemic was about half of its current rate.
O D.…
Chapter 14 Solutions
Statistics for Business and Economics (13th Edition)
Ch. 14.1 - Explain in words how to construct a simple index.Ch. 14.1 - Explain in words how to calculate the following...Ch. 14.1 - Explain in words the difference between Laspeyres...Ch. 14.1 - The table below gives the prices for three...Ch. 14.1 - Refer to Exercise 14.4. The next table gives the...Ch. 14.1 - Annual median family income. The table below lists...Ch. 14.1 - Annual U.S. craft beer production. While overall...Ch. 14.1 - Quarterly single-family housing starts. The...Ch. 14.1 - Spot price of natural gas. The table shown in the...Ch. 14.1 - Employment in farm and nonfarm categories....
Ch. 14.1 - GOP personal consumption expenditures. The gross...Ch. 14.1 - GDP personal consumption expenditures (contd)....Ch. 14.1 - Weekly earnings for workers. The table in the next...Ch. 14.1 - Production and price of metals. The level or price...Ch. 14.2 - Describe the effect of selecting an exponential...Ch. 14.2 - A monthly time series is shown in the table to the...Ch. 14.2 - Annual U.S. craft beer production. Refer to the...Ch. 14.2 - Foreign fish production. Overfishing and pollution...Ch. 14.2 - Yearly price of gold. The price of gold is used by...Ch. 14.2 - Personal consumption in transportation. There has...Ch. 14.2 - OPEC crude oil imports. The data in the table...Ch. 14.2 - SP 500 Stock Index. Standard Poors 500 Composite...Ch. 14.5 - How does the choice of the smoothing constant w...Ch. 14.5 - Refer to Exercise 14.4 (p. 14-9). The table with...Ch. 14.5 - Annual U.S. craft beer production. Refer to...Ch. 14.5 - Quarterly single-family housing starts. Refer to...Ch. 14.5 - Consumer Price Index. The CPI measures the...Ch. 14.5 - OPEC crude oil imports. Refer to the annual OPEC...Ch. 14.5 - SP 500 Stock Index. Refer to the quarterly...Ch. 14.5 - SP 500 Stock Index (contd). Refer to Exercise...Ch. 14.5 - Monthly gold prices. The fluctuation of gold...Ch. 14.6 - Annual U.S. craft beer production. Refer to the...Ch. 14.6 - Annual U.S. craft beer production (contd). Refer...Ch. 14.6 - SP 500 Stock Index. Refer to your exponential...Ch. 14.6 - SP 500 Stock Index (contd). Refer to your Holt...Ch. 14.6 - Monthly gold prices. Refer to the monthly gold...Ch. 14.6 - US school enrollments. The next table reports...Ch. 14.8 - The annual price of a finished product (in cents...Ch. 14.8 - Retail sales in Quarters 14 over a 10-year period...Ch. 14.8 - What advantage do regression forecasts have over...Ch. 14.8 - Mortgage interest rates. The level at which...Ch. 14.8 - Price of natural gas. Refer to Exercise 14.9 (p....Ch. 14.8 - A gasoline tax on carbon emissions. In an effort...Ch. 14.8 - Predicting presidential elections. Researchers at...Ch. 14.8 - Life insurance policies in force. The table below...Ch. 14.8 - Graphing calculator sales. The next table presents...Ch. 14.8 - Prob. 14.47ACICh. 14.9 - Define autocorrelation. Explain why it is...Ch. 14.9 - For each case, indicate the decision regarding the...Ch. 14.9 - What do the following Durbin-Watson statistics...Ch. 14.9 - Company donations to charity. Refer to the Journal...Ch. 14.9 - Forecasting monthly car and truck sales. Forecasts...Ch. 14.9 - Predicting presidential elections. Refer to the...Ch. 14.9 - Mortgage interest rates. Refer to the data on...Ch. 14.9 - Price of natural gas. Refer to the annual data on...Ch. 14.9 - Life insurance policies in force. Refer to the...Ch. 14.9 - Modeling the deposit share of a retail bank....Ch. 14 - Insured Social Security workers. Workers insured...Ch. 14 - Insured Social Security workers (contd). Refer to...Ch. 14 - Retail prices of food items. In 1990, the average...Ch. 14 - Demand for emergency room services. With the...Ch. 14 - Mortgage interest rates. Refer to the annual...Ch. 14 - Price of Abbott Labs stock. The yearly closing...Ch. 14 - Price o f Abbott Labs stock (contd). Refer to...Ch. 14 - Prob. 14.65ACICh. 14 - Prob. 14.66ACICh. 14 - Quarterly GOP values (contd). Refer to Exercise...Ch. 14 - Prob. 14.68ACICh. 14 - Prob. 14.69ACICh. 14 - Prob. 14.70ACICh. 14 - IBM stock prices. Refer to Example 14.1 (p. 14-5)...Ch. 14 - Prob. 14.72ACI
Knowledge Booster
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
- The US. import of wine (in hectoliters) for several years is given in Table 5. Determine whether the trend appearslinear. Ifso, and assuming the trend continues, in what year will imports exceed 12,000 hectoliters?arrow_forwardTable 3 gives the annual sales (in millions of dollars) of a product from 1998 to 20006. What was the average rate of change of annual sales (a) between 2001 and 2002, and (b) between 2001 and 2004?arrow_forwardDVD Player Sales The table shows the number of DVD players sold in a small electronics store in the years 2003-2013. Year DVD players sold 2003 495 2004 513 2005 410 2006 402 2007 520 2008 580 2009 631 2010 719 2011 624 2012 582 2013 635 aWhat was the average rate of change of sales between 2003 and 2013? bWhat was the average rate of change of sales between 2003 and 2004? cWhat was the average rate of change of sales between 2004 and 2005? dBetween which two successive years did DVD player sales increase most quickly? Decrease most quickly?arrow_forward
- Life Expectancy The following table shows the average life expectancy, in years, of a child born in the given year42 Life expectancy 2005 77.6 2007 78.1 2009 78.5 2011 78.7 2013 78.8 a. Find the equation of the regression line, and explain the meaning of its slope. b. Plot the data points and the regression line. c. Explain in practical terms the meaning of the slope of the regression line. d. Based on the trend of the regression line, what do you predict as the life expectancy of a child born in 2019? e. Based on the trend of the regression line, what do you predict as the life expectancy of a child born in 1580?2300arrow_forwardInterpret the time plot. What are the components you can observe in the time series plot? Is the data stationary? Explainarrow_forwardhudson Marine has been an authorized dealer for c&d marine radios for the past sevenyears. the following table reports the number of radios sold each year.Year 1 2 3 4 5 6 7Number Sold 35 50 75 90 105 110 130a. construct a time series plot. does a linear trend appear to be present?b. Using Minitab or excel, develop a linear trend equation for this time series.c. Use the linear trend equation developed in part (b) to develop a forecast for annualsales in year 8.arrow_forward
- The quarterly sales of a company (in millions of dollars) over the past three years are given in the following table. Quarter 2007 2008 2009 Quarter 14 28 30 1 Quarter 2 Quarter 3 Quarter 4 20 16 36 40 10 14 18 38 12 b. a. Compute the four seasonal factors (Seasonal Indexes). Show all of your computations. The trend for these data is Trend = 20.82 +0.336 t (t represents time, where t-1 for Quarter 1 of 2007 and t-12 for Quarter 4 of 2009). Forecast sales for the first quarter of 2010 using the trend only. Show all of your computations. c. Forecast sales for the first quarter of 2010 using the trend and seasonal indexes and write your answer below. Show all of your computations.arrow_forwardWhich one of the following statements about forecasting is FALSE? A. You should use the simple moving average method to estimate the mean demand of a time series that has a pronounced trend and seasonal influences. B. The weighted moving average method allows forecasters to emphasize recent demand over earlier demand. The forecast will be more responsive to change in the underlying average of the demand series. C. The most frequently used time-series forecasting method is exponential smoothing because of its simplicity and the small amount of data needed to support it. D. In exponential smoothing, higher values place greater weight on earlier demands in computing the average. E. When a significant trend exists, regression method may be effective. O A, B and E O A, D and E O A and D O C, D and Earrow_forward不 The data in the table represent the stock price for a company at the end of each month in 2015. (a) Construct a time-series plot and comment on any trends. (b) What was the percent change in the stock price of the company from January 2015 to December 2015? Date 1/15 2/15 3/15 4/15 5/15 6/15 7/15 8/15 9/15 10/15 11/15 12/15 Closing Price D 28.78 28.98 31.45 35.08 31.50 31.88 30.66 31.55 32.14 36.17 36.63 37.28 (a) Which of the following is a time-series plot of the data? OB. Closing Price Closing Price 40- Andrea Jan Jun Dec Month 251 40- 30- 25TTT Jan Jun Month Dec Q Closing Price Closing Price 40- 251TT Jan Jun Month Dec Jan Jun Dec Month Comment on any trends. Choose the correct answer below. OA. The stock price generally remained the same throughout the year. Q OB. The stock price generally decreased throughout the year. C. There was no discernible trend in the stock price throughout the year. D. The stock price generally increased throughout the year. (b) The percent change in…arrow_forward
- a. Sales of the Flying Flintmobile has been increasing over the past five years. The operations manager has estimated sales in 2017 to be 410 Flving Flintmobiles. Using exponential smoothing with a weight of a = 0.30, develop forecasts for 2017 through 2022. Year Sales Forecast 2016 450 2017 495 2018 518 2019 563 2021 584 2022arrow_forwardThe following time series shows the sales of a particular product over the past months. Month Sales Month Sales 1 105 7 145 2 135 8 140 3 120 9 100 4 105 10 80 5 90 11 100 6 120 12 110 a. Construct a time series plot. b and c are shown in pictures. please help asap.arrow_forwardeconometricsarrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- Algebra and Trigonometry (MindTap Course List)AlgebraISBN:9781305071742Author:James Stewart, Lothar Redlin, Saleem WatsonPublisher:Cengage LearningFunctions and Change: A Modeling Approach to Coll...AlgebraISBN:9781337111348Author:Bruce Crauder, Benny Evans, Alan NoellPublisher:Cengage Learning
- College AlgebraAlgebraISBN:9781305115545Author:James Stewart, Lothar Redlin, Saleem WatsonPublisher:Cengage Learning
Algebra and Trigonometry (MindTap Course List)
Algebra
ISBN:9781305071742
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:Cengage Learning
Functions and Change: A Modeling Approach to Coll...
Algebra
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Cengage Learning
College Algebra
Algebra
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:Cengage Learning
Time Series Analysis Theory & Uni-variate Forecasting Techniques; Author: Analytics University;https://www.youtube.com/watch?v=_X5q9FYLGxM;License: Standard YouTube License, CC-BY
Operations management 101: Time-series, forecasting introduction; Author: Brandoz Foltz;https://www.youtube.com/watch?v=EaqZP36ool8;License: Standard YouTube License, CC-BY