Question
Utility Taxes in Sunnytown, Florida Year Revenues ($) 1 842,387 2 1,665,430 3 1,863,296 4 2,063,103...
Utility Taxes in Sunnytown, Florida
|
Year |
Revenues ($) |
|
1 |
842,387 |
|
2 |
1,665,430 |
|
3 |
1,863,296 |
|
4 |
2,063,103 |
|
5 |
2,905,717 |
|
6 |
- Use Exponential Smoothing, with α=0.8, to forecast the revenue in Year 6. Use your calculator to forecast.
Homework Answers
Answer #1
| smoothing constant | year | Revenue | Forecast |
| 0.8 | 1 | 842384 | |
| 2 | 1665430 | 842384 | |
| 3 | 1863296 | 1500821 | |
| 4 | 2063103 | 1573316 | |
| 5 | 2905717 | 1671273 | |
| 6 | 1918162 |
Not the answer you're looking for?
Similar Questions
Consider the following time series data. Week 1 2 3 4 5 6 Value 19 12...
Consider the following time series data.
Week
1
2
3
4
5
6
Value
19
12
16
11
18
13
(b)
Develop the three-week moving average forecasts for this time
series. (Round your answers to two decimal places.)
Week
Time Series
Value
Forecast
1
19
2
12
3
16
4
11
5
18
6
13
Compute MSE. (Round your answer to two decimal places.)
MSE =
What is the forecast for week 7?
(c)
Use α = 0.2 to compute...
1. Suppose the following data represents total revenues (in $ millions) for a mining company. Year...
1. Suppose the following data
represents total revenues (in $ millions) for a mining
company.
Year
Revenue
4-Year Moving
Average
4 Weighted Moving Average
Weights 4,3,2,1
Exponential smoothing
α = 0.6
2010
75
2011
81
2012
74
2013
79
2014
69
2015
92
2016
73
2017
85
2018
90
2019
73
2020
Forecast
Use 2 decimal
places,
Compute the 4-year moving averages and forecast the revenue for
2020. ( 4 marks)
Compute the 4-year weighted moving averages...
Consider the following time series data. Week 1 2 3 4 5 6 Value 18 13...
Consider the following time series data.
Week
1
2
3
4
5
6
Value
18
13
15
12
16
14
c)Use α = 0.2 to compute the exponential smoothing
forecasts for the time series.
Week
Time Series
Value
Forecast
1
18
2
13
18
3
15
4
12
5
16
6
14
Compute MSE. (Round your answer to two decimal places.)
MSE =____
What is the forecast for week 7? (Round your answer to two
decimal places.)
____
(e)Use a...
Month 1 2 3 4 5 6 7 Value 25 14 21 13 20 24 16...
Month
1
2
3
4
5
6
7
Value
25
14
21
13
20
24
16
(b)
Develop the three-month moving average forecasts for this time
series.
Month
Time Series
Value
Forecast
1
25
2
14
3
21
4
13
5
20
6
24
7
16
Compute MSE. (Round your answer to two decimal places.)
MSE =
What is the forecast for month 8?
(c)
Use α = 0.2 to compute the exponential smoothing
forecasts for the time series. (Round...
Consider the following time series data. Month 1 2 3 4 5 6 7 Value 22...
Consider the following time series data.
Month
1
2
3
4
5
6
7
Value
22
11
18
10
17
21
13
A) What type of pattern exists in the data?
The data appear to follow a seasonal pattern.
The data appear to follow a trend
pattern.
The data appear to follow a horizontal pattern.
The data appear to follow a cyclical pattern.
B) Develop the three-month moving average forecasts for this
time series.
Month
Time Series
Value
Forecast
1...
Consider the following time series data. Week 1 2 3 4 5 6 Value 18 13...
Consider the following time series data.
Week
1
2
3
4
5
6
Value
18
13
16
11
17
14
A) What type of pattern exists in the data? (HORIZONTAL
OR TREND)
B) Develop a three-week moving average for this time series.
Compute MSE and a forecast for week 7. If required, round your
answers to two decimal places.
Week
Time Series
Value
Forecast
1
18
2
13
3
16
4
11
_______
5
17
_______
6
14
_______
MSE:...
Consider the following time series data: Month 1 2 3 4 5 6 7 Value 24...
Consider the following time series data:
Month
1
2
3
4
5
6
7
Value
24
13
20
12
19
23
15
Develop a three-month moving average for this time series.
Compute MSE and a forecast for month 8.
If required, round your answers to two decimal places. Do not
round intermediate calculation.
MSE:
The forecast for month 8:
(c)
Use α = 0.2 to compute the exponential smoothing values
for the time series. Compute MSE and a forecast for...
Month 1 2 3 4 5 6 7 Value 24 15 21 13 19 21 16...
Month
1 2 3 4 5 6 7
Value
24 15 21 13 19 21 16
a) Develop a three-month moving average for this time series.
Compute MSE and a forecast for month 8. If required, round your
answers to two decimal places. Do not round intermediate
calculation. MSE:_______ The forecast for month 8________
b) Use α = 0.2 to compute the exponential smoothing values for
the time series. Compute MSE and a forecast for month 8. If
required, round...
The following time series shows the number of units of a particular product sold over the...
The following time series shows the number of units of a
particular product sold over the past six months.
Month
Units Sold
1
9
2
4
3
5
4
6
5
13
6
11
a. Compute the three-month moving average forecast for month
4.
b. Compute the three-month moving average forecast for month
5.
c. Compute the three-month moving average forecast for month
6.
d. Compute the mean squared error (MSE) for the three-month
moving average forecasts.
e. Use α...
Consider the following time series data. Week 1 2 3 4 5 6 Value 18 13...
Consider the following time series data.
Week 1 2 3 4 5 6
Value 18 13 15 13 15 15
(b)
Develop a three-week moving average for this time series.
Compute MSE and a forecast for week 7.
If required, round your answers to two decimal places.
(c) Use α = 0.2 to compute the
exponential smoothing values for the time series. Compute MSE and a
forecast for week 7.
If required, round your answers to two decimal places.
(d)...
ADVERTISEMENT
Need Online Homework Help?
Get Answers For Free
Most questions answered within 1 hours.
ADVERTISEMENT
Active Questions
asked 4 minutes ago
asked 7 minutes ago
asked 12 minutes ago
asked 21 minutes ago
asked 27 minutes ago
asked 27 minutes ago
asked 37 minutes ago
asked 53 minutes ago
asked 58 minutes ago
asked 58 minutes ago
asked 1 hour ago
asked 1 hour ago