(b) Compare a three-month moving average forecast with an exponential smoothing forecast. Use a = 0.2. Time Seres 3-Month Moal
(b) Compare a three-month moving average forecast with an exponential smoothing forecast. Use a = 0.2. Time Seres 3-Month Moal
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.2: Representing Data
Problem 24PFA
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Please answer part b
![DATAfile: Alabama
The values of Alabama building contracts (in millions of dollars) for a 12-month period are as follows.
240
350
230
260
280
320
220
310
240
310
240
230
(a) Construct a time series plot. What type of pattern exists in the data?
O The data appear to follow a cyclical pattern.
O The data annear to follo](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F55d7d476-142a-464a-9a3c-33461276aa85%2Fbf39b95d-fa2d-4135-8618-526797f6eee4%2Fqlxyjqa_processed.jpeg&w=3840&q=75)
Transcribed Image Text:DATAfile: Alabama
The values of Alabama building contracts (in millions of dollars) for a 12-month period are as follows.
240
350
230
260
280
320
220
310
240
310
240
230
(a) Construct a time series plot. What type of pattern exists in the data?
O The data appear to follow a cyclical pattern.
O The data annear to follo
![(b) Compare a three-month moving average forecast with an exponential smoothing forecast. Use a = 0.2. (Round your answers to two decimal places.)
Time Serles
Value
(In $ millons)
3-Month Moving
Average Forecast
(In $ millons)
Month
a = 0.2
Forecast
(In $ milllons)
1.
240
350
230
4
260
280
6.
320
7
220
310
240
10
310
11
240
12
230](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F55d7d476-142a-464a-9a3c-33461276aa85%2Fbf39b95d-fa2d-4135-8618-526797f6eee4%2Flnu9pp_processed.jpeg&w=3840&q=75)
Transcribed Image Text:(b) Compare a three-month moving average forecast with an exponential smoothing forecast. Use a = 0.2. (Round your answers to two decimal places.)
Time Serles
Value
(In $ millons)
3-Month Moving
Average Forecast
(In $ millons)
Month
a = 0.2
Forecast
(In $ milllons)
1.
240
350
230
4
260
280
6.
320
7
220
310
240
10
310
11
240
12
230
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