Statistics for Business and Economics (13th Edition)
Statistics for Business and Economics (13th Edition)
13th Edition
ISBN: 9780134506593
Author: James T. McClave, P. George Benson, Terry Sincich
Publisher: PEARSON
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Chapter 14.8, Problem 14.38LM

The annual price of a finished product (in cents per pound) from 2000 to 2015 is given in the table below. The time variable t begins with t = 1 in 2000 and is incremented by 1 for each additional year

Chapter 14.8, Problem 14.38LM, The annual price of a finished product (in cents per pound) from 2000 to 2015 is given in the table

a. Fit the straight-line model, E(Yt) = β0. + β1t, to the data.

b. Give the least squares estimates of the β′s.

c. Use the least squares prediction equation to obtain the forecasts for 2016 and 2017.

d. Find 95% forecast intervals for 2016 and 2017.

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For each of the time​ series, construct a line chart of the data and identify the characteristics of the time series​ (that is,​ random, stationary,​ trend, seasonal, or​ cyclical). Month    Number (Thousands)Dec 1991    65.60Jan 1992    71.60Feb 1992    78.80Mar 1992    111.60Apr 1992    107.60May 1992    115.20Jun 1992    117.80Jul 1992    106.20Aug 1992    109.90Sep 1992    106.00Oct 1992    111.80Nov 1992    84.50Dec 1992    78.60Jan 1993    70.50Feb 1993    74.60Mar 1993    95.50Apr 1993    117.80May 1993    120.90Jun 1993    128.50Jul 1993    115.30Aug 1993    121.80Sep 1993    118.50Oct 1993    123.30Nov 1993    102.30Dec 1993    98.70Jan 1994    76.20Feb 1994    83.50Mar 1994    134.30Apr 1994    137.60May 1994    148.80Jun 1994    136.40Jul 1994    127.80Aug 1994    139.80Sep 1994    130.10Oct 1994    130.60Nov 1994    113.40Dec 1994    98.50Jan 1995    84.50Feb 1995    81.60Mar 1995    103.80Apr 1995    116.90May 1995    130.50Jun 1995    123.40Jul 1995    129.10Aug 1995…
For each of the time​ series, construct a line chart of the data and identify the characteristics of the time series​ (that is,​ random, stationary,​ trend, seasonal, or​ cyclical). Year    Month    Units1    Nov    42,1611    Dec    44,1862    Jan    42,2272    Feb    45,4222    Mar    54,0752    Apr    50,9262    May    53,5722    Jun    54,9202    Jul    54,4492    Aug    56,0792    Sep    52,1772    Oct    50,0872    Nov    48,5132    Dec    49,2783    Jan    48,1343    Feb    54,8873    Mar    61,0643    Apr    53,3503    May    59,4673    Jun    59,3703    Jul    55,0883    Aug    59,3493    Sep    54,4723    Oct    53,164

Chapter 14 Solutions

Statistics for Business and Economics (13th Edition)

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
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