STATISTICS F/BUSINESS+ECONOMICS-TEXT
13th Edition
ISBN: 9781305881884
Author: Anderson
Publisher: CENGAGE L
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Textbook Question
Chapter 17.6, Problem 35E
Consider the following time series data.
- a. Construct a time series plot. What type of pattern exists in the data?
- b. Show the four-quarter and centered moving average values for this time series.
- c. Compute seasonal indexes and adjusted seasonal indexes for the four quarters.
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For the hawkins company, the monthly percentages of all shipments received on timeover the past 12 months are 80, 82, 84, 83, 83, 84, 85, 84, 82, 83, 84, and 83.a. construct a time series plot. What type of pattern exists in the data?
The results from a survey that collected annual household income is shown in the given table. Which of the following data types best describe these values?
Click the icon to view the annual household income.
Annual Household Income
OA. Ordinal
OB. Time series
OC. Cross-sectional
OD. Nominal
Annual Household Income
Household
Income ($000)
Under $30
$30 to under $40
$40 to under $50
$50 to under $60
$60 to under $70
Over $70
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Number of
Households
67
111
125
21
38
40
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Consider the following time series data.Quarter Year 1 Year 2 Year 31 4 6 72 2 3 63 3 5 64 5 7 8a. Construct a time series plot. What type of pattern exists in the data?b. Show the four-quarter and centered moving average values for this time series.c. Compute seasonal indexes and adjusted seasonal indexes for the four quarters.
Chapter 17 Solutions
STATISTICS F/BUSINESS+ECONOMICS-TEXT
Ch. 17.2 - Consider the following time series data. Week 1 2...Ch. 17.2 - Refer to the time series data in exercise 1. Using...Ch. 17.2 - Exercises 1 and 2 used different forecasting...Ch. 17.2 - Consider the following time series data. Month 1 2...Ch. 17.3 - Consider the following time series data. Week 1 2...Ch. 17.3 - Consider the following time series data. Month 1 2...Ch. 17.3 - Refer to the gasoline sales time series data in...Ch. 17.3 - Refer again to the gasoline sales time series data...Ch. 17.3 - With the gasoline time series data from Table...Ch. 17.3 - With a smoothing constant of = .2, equation...
Ch. 17.3 - For the Hawkins Company, the monthly percentages...Ch. 17.3 - Corporate triple-A bond interest rates for 12...Ch. 17.3 - The values of Alabama building contracts (in ...Ch. 17.3 - The following time series shows the sales of a...Ch. 17.3 - Ten weeks of data on the Commodity Futures Index...Ch. 17.3 - The U.S. Census Bureau tracks the median price for...Ch. 17.4 - Consider the following time series data. a....Ch. 17.4 - Prob. 18ECh. 17.4 - Consider the following time series. a. Construct a...Ch. 17.4 - Prob. 20ECh. 17.4 - Prob. 21ECh. 17.4 - The Seneca Childrens Fund (SCF) is a local charity...Ch. 17.4 - The following table shows Googles annual revenue...Ch. 17.4 - FRED (Federal Reserve Economic Data), a database...Ch. 17.4 - Quarterly revenue ( millions) for Twitter for the...Ch. 17.4 - Giovanni Food Products produces and sells frozen...Ch. 17.4 - Prob. 27ECh. 17.5 - Consider the following time series. a. Construct a...Ch. 17.5 - Consider the following time series data. a....Ch. 17.5 - The quarterly sales data (number of copies sold)...Ch. 17.5 - Air pollution control specialists in southern...Ch. 17.5 - South Shore Construction builds permanent docks...Ch. 17.5 - Prob. 33ECh. 17.5 - Three years of monthly lawn-maintenance expenses...Ch. 17.6 - Consider the following time series data. a....Ch. 17.6 - Refer to exercise 35. a. Deseasonalize the time...Ch. 17.6 - The quarterly sales data (number of copies sold)...Ch. 17.6 - Three years of monthly lawn-maintenance expenses...Ch. 17.6 - Air pollution control specialists in southern...Ch. 17.6 - Electric power consumption is measured in...Ch. 17 - The weekly demand (in cases) for a particular...Ch. 17 - The following table reports the percentage of...Ch. 17 - United Dairies. Inc., supplies milk to several...Ch. 17 - The data contained in the DATAfile named CrudeCost...Ch. 17 - Annual retail store revenue for Apple from 2007 to...Ch. 17 - The Mayfair Department Store in Davenport, Iowa,...Ch. 17 - Prob. 47SECh. 17 - The Costello Music Company has been in business...Ch. 17 - Consider the Costello Music Company problem in...Ch. 17 - Refer to the Costello Music Company problem in...Ch. 17 - Refer to the Costello Music Company time series in...Ch. 17 - Hudson Marine has been an authorized dealer for CD...Ch. 17 - Refer to the Hudson Marine problem in exercise 52....Ch. 17 - Refer to the Hudson Marine problem in exercise 53....Ch. 17 - Refer to the Hudson Marine data in exercise 53. a....Ch. 17 - Forecasting Food and Beverage Sales The Vintage...Ch. 17 - Forecasting Lost Sales The Carlson Department...
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- Table 6 shows the year and the number ofpeople unemployed in a particular city for several years. Determine whether the trend appears linear. If so, and assuming the trend continues, in what year will the number of unemployed reach 5 people?arrow_forwardConsider the following time series data. Week 1 4 5 6 Value 16 15 17 13 16 13 3.arrow_forwardDescribe the following time-series patterns: a. Horizontal Pattern b. Trend Pattern c. Seasonal Pattern d. Cyclical Patternarrow_forward
- For the Texas Shipping Company, the monthly percentages of all shipments received on time over the past 12 months are 82, 86, 87, 89, 84, 85, 84, 86, 75, 95, 90, and 92. a. Construct a time series plot (you can include it in the work file question at the end, not here). Identify what type of pattern, if any, exists in the data? Compare the three-month moving average forecast with an exponential smoothing forecast for alpha= 0.25 and answer the following: b. MSE for 3-month moving average method c. MSE for exponential-smoothing method : d. Which method should be preferred? Answer "3-month MA" or "Exponential Smoothing": e. What is the forecast for next month using the preferred method?arrow_forwardThe time series pattern that exists when the data fluctuate around a constant mean is the ______________. A. horizontal pattern. B. seasonal pattern. C. cyclical pattern. D. trend pattern.arrow_forwardthe costello Music company has been in business for five years. during that time, salesof pianos increased from 12 units in the first year to 76 units in the most recent year. Fredcostello, the firm’s owner, wants to develop a forecast of piano sales for the coming year.the historical data follow.Year 1 2 3 4 5Sales 12 28 34 50 76a. construct a time series plot. What type of pattern exists in the data?b. develop the linear trend equation for the time series. What is the average increase insales that the firm has been realizing per year?c. Forecast sales for years 6 and 7.arrow_forward
- Consider the following data: Year Deaths 2000 17,050 Number of Deaths in the U.S. by Drug Overdose 2003 2004 2002 2005 14,311 13,352 17,771 14,516 2001 17,510 2006 2007 11,153 18,656 2008 16,643 Step 1 of 2: Find the two-period moving average for the year 2005. If necessary, round your answer to one decimal place.arrow_forwardUse the following data to create a time series graph. You may draw the graph by hand or use technology. Be sure to use a title, and label the axes of your graph. Year U.S. Birth Rate per 1000 1980 3,612 1985 3,761 1990 4,158 1995 3,900 2000 4,059 2005 4,138 2010 3,999arrow_forwardUsing the following time series data of U.S. new car sales ($ millions), respond to the following items. (The data is sourced from https://www.census.gov/retail/index.html#mrts. Find “Monthly Retail Trade Report,” then select “Time Series/Trend Charts” to find the data for U.S. new car sales.). Year $ Sales (Millions) 2009 486,565 2010 549,473 2011 608,788 2012 672,550 2013 735,374 2014 785,142 2015 842,122 2016 877,743 2017 911,157 2018 943,538 b. Test for autocorrelation using the 0.05 significance level. (Negative amounts should be indicated by a minus sign. Round your answers to 2 decimal places.) Year $ Sales (Millions) Predicted Residuals Lagged Residuals Squared Difference Squared Residuals 2009 486,565 2010 549,473 2011 608,788 2012 672,550 2013 735,374 2014 785,142 2015 842,122 2016 877,743 2017 911,157 2018 943,538…arrow_forward
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