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What type of pattern exists in the data? O The time series plot shows a horizontal pattern, but there is also a seasonal pattern in the data. The time series plot shows a horizontal pattern with no seasonal pattern present. O The time series plot shows a trend pattern with no seasonal pattern present.

What type of pattern exists in the data? O The time series plot shows a horizontal pattern, but there is also a seasonal pattern in the data. The time series plot shows a horizontal pattern with no seasonal pattern present. O The time series plot shows a trend pattern with no seasonal pattern present.

College Algebra
College Algebra
1st Edition
ISBN:9781938168383
Author:Jay Abramson
Publisher:Jay Abramson
Chapter4: Linear Functions
Section4.3: Fitting Linear Models To Data
Problem 24SE: Table 6 shows the year and the number ofpeople unemployed in a particular city for several years....
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Quarter Year 1 Year 2 Time Series Value 90 80 70 1 20 10 2 3 4 (a) Construct a time series plot. 72 1 48 2 3 57 77 69 Year 1 40 59 80 Year 3 63 50 wwwwwwwww 52 71 2 3 4 1 2 3 4 Year 2 Year 3 Year/Quarter 90 80 (c) Compute the quarterly forecasts for next year. quarter 1 forecast quarter 2 forecast quarter 3 forecast quarter 4 forecast 70 50 40 20 10 1 2 3 4 Year 1 1 2 3 Year 2 Year/Quarter 4 What type of pattern exists in the data? O The time series plot shows a horizontal pattern, but there is also a seasonal pattern in the data. O The time series plot shows a horizontal pattern with no seasonal pattern present. O The time series plot shows a trend pattern with no seasonal pattern present. O The time series plot shows a trend pattern, but there is also a seasonal pattern in the data. 1 2 3 4 Year 3 @ (b) Use the following dummy variables to develop an estimated regression equation to account for seasonal effects in the data: x₁ = 1 if quarter 1, 0 otherwise; x₂ = 1 if quarter 2, 0 otherwise; x3 = 1 if quarter 3, 0 otherwise. 10- 1 2 3 4 Year 1 1 2 3 4 Year 2 Year/Quarter 1 2 3 4 Year 3. O 90 80 70 60 50 40 30 20 10 0 1 2 3 4 1 2 3 Year 1 Year 2 Year/Quarter 4 1 2 3 Year 3 4 i
Transcribed Image Text:Quarter Year 1 Year 2 Time Series Value 90 80 70 1 20 10 2 3 4 (a) Construct a time series plot. 72 1 48 2 3 57 77 69 Year 1 40 59 80 Year 3 63 50 wwwwwwwww 52 71 2 3 4 1 2 3 4 Year 2 Year 3 Year/Quarter 90 80 (c) Compute the quarterly forecasts for next year. quarter 1 forecast quarter 2 forecast quarter 3 forecast quarter 4 forecast 70 50 40 20 10 1 2 3 4 Year 1 1 2 3 Year 2 Year/Quarter 4 What type of pattern exists in the data? O The time series plot shows a horizontal pattern, but there is also a seasonal pattern in the data. O The time series plot shows a horizontal pattern with no seasonal pattern present. O The time series plot shows a trend pattern with no seasonal pattern present. O The time series plot shows a trend pattern, but there is also a seasonal pattern in the data. 1 2 3 4 Year 3 @ (b) Use the following dummy variables to develop an estimated regression equation to account for seasonal effects in the data: x₁ = 1 if quarter 1, 0 otherwise; x₂ = 1 if quarter 2, 0 otherwise; x3 = 1 if quarter 3, 0 otherwise. 10- 1 2 3 4 Year 1 1 2 3 4 Year 2 Year/Quarter 1 2 3 4 Year 3. O 90 80 70 60 50 40 30 20 10 0 1 2 3 4 1 2 3 Year 1 Year 2 Year/Quarter 4 1 2 3 Year 3 4 i
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