Homework Answers
The given data is arranged as
| Y | Time (t) | Q1 | Q2 | Q3 |
| 4 | 1 | 1 | 0 | 0 |
| 1 | 2 | 0 | 1 | 0 |
| 3 | 3 | 0 | 0 | 1 |
| 5 | 4 | 0 | 0 | 0 |
| 6 | 5 | 1 | 0 | 0 |
| 4 | 6 | 0 | 1 | 0 |
| 5 | 7 | 0 | 0 | 1 |
| 7 | 8 | 0 | 0 | 0 |
| 7 | 9 | 1 | 0 | 0 |
| 5 | 10 | 0 | 1 | 0 |
| 8 | 11 | 0 | 0 | 1 |
| 9 | 12 | 0 | 0 | 0 |
and applied the linear regression.
For the second Quarterly sales forecast for year 5, the Time (t) =18, Q1=0, Q2=1 and Q3=0. Therefore, the second quarterly sales forecast for year 5 is
Y = 3.00 + 0.500*18 + 0.1667*0 - 2.6667*1 - 1.1667*0 =9.3333.
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The following table reports the sale of umbrellas for 12 quarters. Quarter Year 1 Year 2...
Question 9 (5 points) The following table reports the sale of umbrellas for 12 quarters. Quarter...
Question 9 (5 points) The following table reports the sale of umbrellas for 12 quarters. Quarter Year 1 Year 2 Year 3 1 4 6 7 2 1 4 5 3 3 5 8 4 9 5 7 Develop a model using Year 4 as the reference year and compute the Second Quarterly sales forecast for Year 5. Round your answers to three decimal places.
Consider the following time series data. Quarter Year 1 Year 2 Year 3 1 4 6...
Consider the following time series data. Quarter Year 1 Year 2 Year 3 1 4 6 7 2 2 3 6 3 3 5 6 4 5 7 8 (b) Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. Qtr1 = 1 if Quarter 1, 0 otherwise; Qtr2 = 1 if Quarter 2, 0 otherwise; Qtr3 = 1 if Quarter 3, 0 otherwise. If required, round your...
Consider the following time series data. Quarter Year 1 Year 2 Year 3 1 5 8...
Consider the following time series data. Quarter Year 1 Year 2 Year 3 1 5 8 10 2 1 3 7 3 3 6 8 4 7 10 12 (d) Use a multiple regression model to develop an equation to account for trend and seasonal effects in the data. Use the dummy variables you developed in part (b) to capture seasonal effects and create a variable t such that t = 1 for Quarter 1 in Year 1, t =...
eBook Consider the following time series data. Quarter Year1 Year 2 Year 3 10 10 12...
eBook Consider the following time series data. Quarter Year1 Year 2 Year 3 10 10 12 Plot (i) What type of pattern exists in the data? Select your answer b) Use a multi le regression model with dummy variables as ollows to develop an equation to account or seasonal effects in the data tri . 1 if uarter 1 0 otherwise; tr2·1 i uarter 2 0 otherwise; tr3-1 if uarter 3 0 otherwise. If requred, round your answers to three...
Quarter Year 1 Year 2 Year 3 Year 4 Year 5 1 20 42 69 98...
Quarter
Year 1
Year 2
Year 3
Year 4
Year 5
1
20
42
69
98
175
2
101
141
149
211
288
3
168
250
333
388
436
4
6
20
47
91
181
South Shore Construction builds permanent docks and seawalls along the southern shore of Long Island, New York. Although the firm has been in business only five years, revenue has increased from $295,000 in the first year of operation to $1,080,000 in the most recent year....
The first quart forecast is _____ The second quarter forecast is _____ The third quarter forecast...
The
first quart forecast is _____
The second quarter forecast is _____
The third quarter forecast is _____
The fourth quarter forecast is _____
The manager of a utility company in the Texas panhandle wants to develop quarterly forecasts of power loads for the next year. The power loads are seasonal, and the data on the quarterly loads in megawatts (MW) for the last four years are as follows: Year 1 Year 4 Year 2 98.1 Quarter Year 3 127.6...
Consider the following time series data. Consider the following time series data. Quarter Year 1 Year...
Consider the following time series data.
Consider the following time series data.
Quarter
Year 1
Year 2
Year 3
1
3
6
8
2
2
4
8
3
4
7
9
4
6
9
11
(a)
Choose the correct time series plot.
(i)
(ii)
(iii)
(iv)
- Select your answer -Plot (i)Plot (ii)Plot (iii)Plot (iv)Item
1
What type of pattern exists in the data?
- Select your answer -Positive trend pattern, no
seasonalityHorizontal pattern, no seasonalityNegative trend
pattern, no seasonalityPositive...
Here are earnings per share for two companies by quarter from the first quarter of three...
Here are earnings per share for two companies by quarter from the first quarter of three years ago through the second quarter of this year. Forecast earnings per share for the rest of this year and next year. Use exponential smoothing to forecast the third period of this year, and the time series decomposition method to forecast the last two quarters of this year and all four quarters of next year. (It is much easier to solve this problem on...
Quantitative Methods (STAT-201 Q5 Given the following gasoline data: Quarter Year 1 Year 2 1 95...
Quantitative Methods (STAT-201 Q5 Given the following gasoline data: Quarter Year 1 Year 2 1 95 105 2 85 95 3 105 115 4 100 120 a. Compute the seasonal index for each quarter. b. Suppose we expect year 3 to have annual demand of 400. What is the forecast value for each quarter in year 3? Q6 Number of students present in a class of STAT201 on different days of the week is given in the following table: Day...
8. Examine the following quarterly data: Quarter 11 Quarter 2 2 Quarter 3 3 15 26 20 12 34 51 Quarter 44 Quarter 1 5 Quarter 2 6 Quarter 3 7 Quarter 4 8 Quarter 1 9 Quarter 2 1 38 62 Quarter 311...
8. Examine the following quarterly data: Quarter 11 Quarter 2 2 Quarter 3 3 15 26 20 12 34 51 Quarter 44 Quarter 1 5 Quarter 2 6 Quarter 3 7 Quarter 4 8 Quarter 1 9 Quarter 2 1 38 62 Quarter 311 Quarter 4 12 84 Calculate the seasonal indexes for each quarter. a. Quarter 1 Quarter 2 Quarter 3 Quarter 4 b. Deseasonalize the time series. Produce the trend line using the deseasonalized data. Produce seasonaly adjusted...
Question 9 (5 points) The following table reports the sale of umbrellas for 12 quarters. Quarter Year 1 Year 2 Year 3 1 4 6 7 2 1 4 5 3 3 5 8 4 9 5 7 Develop a model using Year 4 as the reference year and compute the Second Quarterly sales forecast for Year 5. Round your answers to three decimal places.
eBook Consider the following time series data. Quarter Year1 Year 2 Year 3 10 10 12 Plot (i) What type of pattern exists in the data? Select your answer b) Use a multi le regression model with dummy variables as ollows to develop an equation to account or seasonal effects in the data tri . 1 if uarter 1 0 otherwise; tr2·1 i uarter 2 0 otherwise; tr3-1 if uarter 3 0 otherwise. If requred, round your answers to three...
Quarter
Year 1
Year 2
Year 3
Year 4
Year 5
1
20
42
69
98
175
2
101
141
149
211
288
3
168
250
333
388
436
4
6
20
47
91
181
South Shore Construction builds permanent docks and seawalls along the southern shore of Long Island, New York. Although the firm has been in business only five years, revenue has increased from $295,000 in the first year of operation to $1,080,000 in the most recent year....
The
first quart forecast is _____
The second quarter forecast is _____
The third quarter forecast is _____
The fourth quarter forecast is _____
The manager of a utility company in the Texas panhandle wants to develop quarterly forecasts of power loads for the next year. The power loads are seasonal, and the data on the quarterly loads in megawatts (MW) for the last four years are as follows: Year 1 Year 4 Year 2 98.1 Quarter Year 3 127.6...
Consider the following time series data.
Consider the following time series data.
Quarter
Year 1
Year 2
Year 3
1
3
6
8
2
2
4
8
3
4
7
9
4
6
9
11
(a)
Choose the correct time series plot.
(i)
(ii)
(iii)
(iv)
- Select your answer -Plot (i)Plot (ii)Plot (iii)Plot (iv)Item
1
What type of pattern exists in the data?
- Select your answer -Positive trend pattern, no
seasonalityHorizontal pattern, no seasonalityNegative trend
pattern, no seasonalityPositive...
8. Examine the following quarterly data: Quarter 11 Quarter 2 2 Quarter 3 3 15 26 20 12 34 51 Quarter 44 Quarter 1 5 Quarter 2 6 Quarter 3 7 Quarter 4 8 Quarter 1 9 Quarter 2 1 38 62 Quarter 311 Quarter 4 12 84 Calculate the seasonal indexes for each quarter. a. Quarter 1 Quarter 2 Quarter 3 Quarter 4 b. Deseasonalize the time series. Produce the trend line using the deseasonalized data. Produce seasonaly adjusted...
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