ELEM.STAT.LL W/ACCESS CODE
12th Edition
ISBN: 9781323193396
Author: Triola
Publisher: PEARSON C
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Chapter 14.2, Problem 12BSC
To determine
To construct: The run chart for the 50 consecutive measurements.
To describe: A suggestion using the obtained results.
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The accompanying data below shows the South African population versus expenditure on new construction works by the public sector. Data was obtained from Statistics South Africa for the period between 2014 to 2017. What is the predicted expenditure on new construction if the population is 45 million?
Year
S.A. Population
(per million)
(x)
Expenditure on new construction
(per million)
(y)
2014
44.25
18.98
2015
44.75
21.23
2016
45.50
24.62
2017
45.58
20.15
Σx= 179.08
Σy= 84.98
Σxy = 3808.4045
Σx2 = 8018.2514
Σy2 = 1823.120
a = -183.9941
b = 4.5843
Here are the data for the past 21 months for actual sales of a particular product:
LAST YEAR
THIS YEAR
January
300
275
February
400
375
March
425
350
April
450
425
May
400
400
June
460
350
July
400
350
August
300
275
September
375
350
October
500
November
550
December
500
Develop a forecast for the fourth quarter using a three-quarter, weighted moving average. Weight the most recent quarter 0.5, the second most recent 0.25, and the third 0.25. Solve the problem using quarters, as opposed to forecasting separate months.
Note: Round your answer to 2 decimal places.
You have the following data:
Gasoline Sales during 2017.1 to 2020.4 (in 000 of barrels)
Year and quarter
Gasoline Sales
Year and quarter
Gasoline sales
2017.1
22434
2019.1
22776
2017.2
23766
2019.2
24491
2017.3
23860
2019.3
24751
2017.4
23391
2019.4
24170
2018.1
22662
2020.1
23302
2018.2
24032
2020.2
24045
2018.3
24171
2020.3
25437
2018.4
23803
2020.4
25272
(A)Using data on gasoline sales (in thousands of barrels) from the first quarter of 2017 to the last quarter of 2020, estimate the secular linear trend equation.
(B) Accordingly, forecast gasoline sales for the four quarters of 2021.
(C)Use the dummy variables methods to adjust the trend forecasts for the four quarters of2021 you made in (B) above to take the seasonal…
Chapter 14 Solutions
ELEM.STAT.LL W/ACCESS CODE
Ch. 14.2 - Product Specs Table 14-1 lists process data...Ch. 14.2 - Prob. 2BSCCh. 14.2 - Prob. 3BSCCh. 14.2 - Prob. 4BSCCh. 14.2 - Prob. 5BSCCh. 14.2 - Prob. 6BSCCh. 14.2 - Prob. 7BSCCh. 14.2 - Prob. 8BSCCh. 14.2 - Prob. 9BSCCh. 14.2 - Prob. 10BSC
Ch. 14.2 - Prob. 11BSCCh. 14.2 - Prob. 12BSCCh. 14.2 - Prob. 13BBCh. 14.2 - Prob. 14BBCh. 14.3 - Prob. 1BSCCh. 14.3 - Prob. 2BSCCh. 14.3 - Prob. 3BSCCh. 14.3 - Interpreting a Control Chart After constructing a...Ch. 14.3 - Prob. 5BSCCh. 14.3 - Prob. 6BSCCh. 14.3 - Prob. 7BSCCh. 14.3 - Prob. 8BSCCh. 14.3 - Prob. 9BSCCh. 14.3 - Prob. 10BSCCh. 14.3 - Control Charts for p. In Exercises 512, use the...Ch. 14.3 - Prob. 12BSCCh. 14.3 - Prob. 13BBCh. 14 - Prob. 1CQQCh. 14 - Prob. 2CQQCh. 14 - Prob. 3CQQCh. 14 - Prob. 4CQQCh. 14 - Prob. 5CQQCh. 14 - Prob. 6CQQCh. 14 - Prob. 7CQQCh. 14 - Prob. 8CQQCh. 14 - Prob. 9CQQCh. 14 - Examine the following p chart for defective...Ch. 14 - Prob. 1RECh. 14 - Prob. 2RECh. 14 - Prob. 3RECh. 14 - Energy Consumption. Exercises 15 refer to the...Ch. 14 - Prob. 5RECh. 14 - Prob. 1CRECh. 14 - Prob. 2CRECh. 14 - Prob. 3CRECh. 14 - Prob. 4CRECh. 14 - Prob. 5CRECh. 14 - Prob. 6CRECh. 14 - Prob. 7CRECh. 14 - Prob. 8CRECh. 14 - Prob. 9CRECh. 14 - Prob. 10CRECh. 14 - FROM DATA TO DECISION Critical Thinking: Are the...
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