9. Microprocessing, a computer firm specializing in software engineering, has compiled the following revenue records for the years 1989 to 1995. Years 89 90 | 91 | 92 93 | 94 | 95 Revenue($100,000) The second degree equation that best describes the secular trend for these data is Y^ = 2.119+0.375x + 0.020 x, where 1992 = 0 and x units = 1 year a. Calculate the percent of trend for these data b. Calculate the relative cyclical residual for these data

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9. Microprocessing, a computer firm specializing in software engineering, has compiled the
following revenue records for the years 1989 to 1995.
89 | 90
92 93 94 95
Years
91
Revenue($100,000)
The second degree equation that best describes the secular trend for these data
is Y^ = 2.119+0.375x + 0.020 x², where 1992 = 0 and x units = 1 year
a. Calculate the percent of trend for these data
b. Calculate the relative cyclical residual for these data
c. Plot the percent of trend from part a
d. In which year does the largest fluctuation from trend occur, and is it the same for both the
methods?
Transcribed Image Text:9. Microprocessing, a computer firm specializing in software engineering, has compiled the following revenue records for the years 1989 to 1995. 89 | 90 92 93 94 95 Years 91 Revenue($100,000) The second degree equation that best describes the secular trend for these data is Y^ = 2.119+0.375x + 0.020 x², where 1992 = 0 and x units = 1 year a. Calculate the percent of trend for these data b. Calculate the relative cyclical residual for these data c. Plot the percent of trend from part a d. In which year does the largest fluctuation from trend occur, and is it the same for both the methods?
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