201816+14121084++13456.7810 11YearComment on the appropriateness of a linear trend.The time series plot shows that a linear trend is most appropriate.The time series plot shows that neither a linear nor a curvilinear trend is appropriate.The time series plot shows that a curvilinear trend may be more appropriate.(b) Using Minitab or Excel, develop a quadratic trend equation that can be used to forecast revenue (in millions of dollars). (Round your numerical values to three decimal places.)Tt =(c) Using the trend equation developed in part (b), forecast revenue (in millions of dollars) in year 11. (Round your answer to two decimal places.)$millionRevenue ($ millions) A certain company produces and sells frozen pizzas to public schools throughout the eastern United States. Using a very aggressive marketing strategy, they have been able to increase their annualrevenue by approximately $10 million over the past 10 years. But increased competition has slowed their growth rate in the past few years. The annual revenue, in millions of dollars, for the previous 10years is shown.YearRevenue18.5310.74312.98414.1116.3117.21718.37818.559.18.401018.43(a) Construct a time series plot.20202018181816161614+141412121210101088+++++++0 146 7 8 9 10 111456 7810 1112456 78 910 11YearYearYear2018Revenue ($ millions)(suRevenue ($ millions)++3.Revenue ($ millions)

Reviewing information, Year Revenue 1 8.53 2 10.74 3 12.98 4 14.11 5 16.31 6 17.21…

Comment on the appropriateness of a linear trend. O The time series plot shows that a linear trend is most appropriate. O The time series plot shows that neither a linear nor a curvilinear trend is appropriate. O The time series plot shows that a curvilinear trend may be more appropriate. b) Using Minitab or Excel, develop quadratic trend equation that can be used to forecast revenue (in millions of dollars). (Round your numerical values to three decimal places.) T = c) Using the trend equation developed in part (b), forecast revenue (in millions of dollars) in year 11. (Round your answer to two decimal places.) million

Comment on the appropriateness of a linear trend. O The time series plot shows that a linear trend is most appropriate. O The time series plot shows that neither a linear nor a curvilinear trend is appropriate. O The time series plot shows that a curvilinear trend may be more appropriate. b) Using Minitab or Excel, develop quadratic trend equation that can be used to forecast revenue (in millions of dollars). (Round your numerical values to three decimal places.) T = c) Using the trend equation developed in part (b), forecast revenue (in millions of dollars) in year 11. (Round your answer to two decimal places.) million

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

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18
16+
14
12
10
8
4
+
+
1
3
4
5
6.
7
8
10 11
Year
Comment on the appropriateness of a linear trend.
The time series plot shows that a linear trend is most appropriate.
The time series plot shows that neither a linear nor a curvilinear trend is appropriate.
The time series plot shows that a curvilinear trend may be more appropriate.
(b) Using Minitab or Excel, develop a quadratic trend equation that can be used to forecast revenue (in millions of dollars). (Round your numerical values to three decimal places.)
Tt =
(c) Using the trend equation developed in part (b), forecast revenue (in millions of dollars) in year 11. (Round your answer to two decimal places.)
$
million
Revenue ($ millions)

A certain company produces and sells frozen pizzas to public schools throughout the eastern United States. Using a very aggressive marketing strategy, they have been able to increase their annual
revenue by approximately $10 million over the past 10 years. But increased competition has slowed their growth rate in the past few years. The annual revenue, in millions of dollars, for the previous 10
years is shown.
Year
Revenue
1
8.53
10.74
3
12.98
4
14.11
16.31
17.21
7
18.37
8
18.55
9.
18.40
10
18.43
(a) Construct a time series plot.
20
20
20
18
18
18
16
16
16
14+
14
14
12
12
12
10
10
10
8
8
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+
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+
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0 1
4
6 7 8 9 10 11
1
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5
6 7
8
10 11
1
2
4
5
6 7
8 9
10 11
Year
Year
Year
20
18
Revenue ($ millions)
(su
Revenue ($ millions)
++
3.
Revenue ($ millions)

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