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The following time series shows the sales of a particular product over the past months. Month Sales   Month Sales 1   105     7   145   2   135     8   140   3   120     9   100   4   105     10   80   5   90     11   100   6   120     12   110 a. Construct a time series plot. b and c are shown in pictures. please help asap.

The following time series shows the sales of a particular product over the past months. Month Sales   Month Sales 1   105     7   145   2   135     8   140   3   120     9   100   4   105     10   80   5   90     11   100   6   120     12   110 a. Construct a time series plot. b and c are shown in pictures. please help asap.

Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter5: Inverse, Exponential, And Logarithmic Functions
Section: Chapter Questions
Problem 9T
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The following time series shows the sales of a particular product over the past months.

Month Sales   Month Sales
1   105     7   145  
2   135     8   140  
3   120     9   100  
4   105     10   80  
5   90     11   100  
6   120     12   110

a. Construct a time series plot.

b and c are shown in pictures. please help asap.

 

 

12 c. Use a smoothing constant of a = 0.5 to compute the exponential smoothing forecasts (to 2 decimals). Enter negative value as negative number. If your answer is zero enter "0". Do not round intermediate calculations. Month 1 2 4 5 6 7 8 9 10 110 11 Time-Series Value 105 135 120 105 90 120 145 140 100 80 100 MSE (α = 0.3) MSE (α = 0.5) Forecast Forecast Error 12 110 Compute MSE (to 2 decimals). Do not round intermediate calculations. Error² ☐☐☐☐☐☐☐☐☐☐☐ 00000000000 00000000000 X
Transcribed Image Text:12 c. Use a smoothing constant of a = 0.5 to compute the exponential smoothing forecasts (to 2 decimals). Enter negative value as negative number. If your answer is zero enter "0". Do not round intermediate calculations. Month 1 2 4 5 6 7 8 9 10 110 11 Time-Series Value 105 135 120 105 90 120 145 140 100 80 100 MSE (α = 0.3) MSE (α = 0.5) Forecast Forecast Error 12 110 Compute MSE (to 2 decimals). Do not round intermediate calculations. Error² ☐☐☐☐☐☐☐☐☐☐☐ 00000000000 00000000000 X
b. Use a = 0.3 to compute the exponential smoothing forecasts for the time series (to 2 decimals). Enter negative value as negative number. Do not round intermediate calculations. Month 1 6 7 8 9 10 11 Time-Series Value Month 105 135 120 105 90 120 145 140 100 80 100 Forecast Time-Series Value 00000000000 Forecast Error 12 110 c. Use a smoothing constant of a = 0.5 to compute the exponential smoothing forecasts (to 2 decimals). Enter negative value as negative number. If your answer is zero enter "0". Do not round intermediate calculations. Forecast Error² 00000000000 00000000000 Forecast Error Error² K
Transcribed Image Text:b. Use a = 0.3 to compute the exponential smoothing forecasts for the time series (to 2 decimals). Enter negative value as negative number. Do not round intermediate calculations. Month 1 6 7 8 9 10 11 Time-Series Value Month 105 135 120 105 90 120 145 140 100 80 100 Forecast Time-Series Value 00000000000 Forecast Error 12 110 c. Use a smoothing constant of a = 0.5 to compute the exponential smoothing forecasts (to 2 decimals). Enter negative value as negative number. If your answer is zero enter "0". Do not round intermediate calculations. Forecast Error² 00000000000 00000000000 Forecast Error Error² K
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