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

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Chapter1: Starting With Matlab
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A statistical program is recommended.
Consider the following time series.
Quarter Year 1
1
2
3
4
70
50
58
77
Year 2
67
42
60
80
Year 3
61
52
53
71
Transcribed Image Text:A statistical program is recommended. Consider the following time series. Quarter Year 1 1 2 3 4 70 50 58 77 Year 2 67 42 60 80 Year 3 61 52 53 71
What type of pattern exists in the data?
The time series plot shows a trend pattern with no seasonal pattern present.
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.
The time series plot shows a trend pattern, but there is also a seasonal pattern in the data.
(b) Use the following dummy variables to develop an estimated regression equation to account for seasonal effects in the data:
=
= 1 if quarter 2, 0 otherwise; X3 1 if quarter 3, 0 otherwise.
ŷ =
X1 = 1 if quarter 1, 0 otherwise; X₂
(c) Compute the quarterly forecasts for next year.
quarter 1 forecast
quarter 2 forecast
quarter 3 forecast
quarter 4 forecast
Transcribed Image Text:What type of pattern exists in the data? The time series plot shows a trend pattern with no seasonal pattern present. 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. The time series plot shows a trend pattern, but there is also a seasonal pattern in the data. (b) Use the following dummy variables to develop an estimated regression equation to account for seasonal effects in the data: = = 1 if quarter 2, 0 otherwise; X3 1 if quarter 3, 0 otherwise. ŷ = X1 = 1 if quarter 1, 0 otherwise; X₂ (c) Compute the quarterly forecasts for next year. quarter 1 forecast quarter 2 forecast quarter 3 forecast quarter 4 forecast
Expert Solution
Step 1

Type of pattern:

Excel Procedure:

  • Enter the time series values and quarter values in Excel.
  • Select the column of time series values in excel.
  • Go to insert.
  • Go to insert statistic chart.
  • click on ‘line chart’.

Excel Output:

Statistics homework question answer, step 1, image 1

Correct option is option 3

From the scatter plot, there is no horizontal in the data values.

That is, there exists a trend(increasing and decreasing) with seasonality.

Correct option: 

The time series plot shows a trend pattern, but there is also a seasonal pattern in the data.

 

 

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Follow-up Questions
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Follow-up Question

Solution is incorrect, can it be revised again please?

**(b)** Use the following dummy variables to develop an estimated regression equation to account for seasonal effects in the data:  
\[ x_1 = 1 \text{ if quarter 1, 0 otherwise; } x_2 = 1 \text{ if quarter 2, 0 otherwise; } x_3 = 1 \text{ if quarter 3, 0 otherwise.} \]

\[ \hat{y} = 80.5 - 0.5625t - 11.6875x_1 - 29.125x_2 - 19.5625x_3 \] (incorrect)

**(c)** Compute the quarterly forecasts for next year.

- Quarter 1 forecast: 62 ❌
- Quarter 2 forecast: 44 ❌
- Quarter 3 forecast: 53 ❌
- Quarter 4 forecast: 72 ❌
Transcribed Image Text:**(b)** Use the following dummy variables to develop an estimated regression equation to account for seasonal effects in the data: \[ x_1 = 1 \text{ if quarter 1, 0 otherwise; } x_2 = 1 \text{ if quarter 2, 0 otherwise; } x_3 = 1 \text{ if quarter 3, 0 otherwise.} \] \[ \hat{y} = 80.5 - 0.5625t - 11.6875x_1 - 29.125x_2 - 19.5625x_3 \] (incorrect) **(c)** Compute the quarterly forecasts for next year. - Quarter 1 forecast: 62 ❌ - Quarter 2 forecast: 44 ❌ - Quarter 3 forecast: 53 ❌ - Quarter 4 forecast: 72 ❌
A statistical program is recommended.

Consider the following time series.

| Quarter | Year 1 | Year 2 | Year 3 |
|---------|--------|--------|--------|
| 1       | 70     | 67     | 61     |
| 2       | 50     | 42     | 52     |
| 3       | 58     | 60     | 53     |
| 4       | 77     | 80     | 71     |

This table presents a time series data set across three years, divided into four quarters. Each cell shows a numerical value, which represents the observed data in each corresponding quarter for each year.
Transcribed Image Text:A statistical program is recommended. Consider the following time series. | Quarter | Year 1 | Year 2 | Year 3 | |---------|--------|--------|--------| | 1 | 70 | 67 | 61 | | 2 | 50 | 42 | 52 | | 3 | 58 | 60 | 53 | | 4 | 77 | 80 | 71 | This table presents a time series data set across three years, divided into four quarters. Each cell shows a numerical value, which represents the observed data in each corresponding quarter for each year.
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