BA Homework 6

.xlsx

School

Houston Baptist University *

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Course

4340

Subject

Aerospace Engineering

Date

Dec 6, 2023

Type

xlsx

Pages

6

Uploaded by lululas1

Report
PROBLEM 1 (15 POINTS) Consider the following time series data: Month Value naïve forecast absolute errorerror 2 absolute value of % error 1 24 2 13 24 11 121 85% 3 20 13 7 49 35% 4 12 20 8 64 67% 5 19 12 7 49 37% 6 23 19 4 16 17% 7 15 23 8 64 53% 15 total 45 363 2.93848794226369 mean 7.5 60.5 0.489747990377281 (a) Construct a time series plot. What type of pattern exists in the data? (b) Compute the mean absolute error (MAE), mean squared error (MSE), and mean absolute percentage error MAPE) using the most recent value as the forecast for the next period. What is the forecast for month 8? MAE MSE MAPE forecast (c) Compute the MAE, MSE, and MAPE using the average of all the data as the forecast for the next period. What is the forecast for month 8? MAE MSE MAPE forecast (d) Develop a three-week moving average for this time series and compute the MAE, MSE, and MAPE. What is the forecast for month 8. Month Value 3 week forecast error abs 1 24 2 13 3 20 4 12 19 5 19 15 6 23 17 7 15 18 MAE MSE MAPE MAE, MSE, and MAPE. What is the forecast for month 8? (e) Compare the results. Which appears to provide the better forecast based on the MSE? (d) Use ά = 0.20 to compute the exponential smoothing values for the time series and compute the
1 2 3 4 5 6 7 0 5 10 15 20 25 30 Chart Title Month Value
PROBLEM 2 (20 POINTS) The following data shows the quarterly sales of the LukeHydro tents at a Aubrey Sporting Goods Store. The store owner wants to forecast the quarterly sales for the next year. (a) Construct a time series plot. What type of pattern exists in the data? (b) Use dummy variables and multiple regression to find a multiple regression equation that accounts for seasonal effects in the data? (c) Based on this model, estimate the quarterly sales for the fourth year. Year Quarter Q1 Q2 Q3 Sales 1 1 1 0 0 74 1 2 0 1 0 53 1 3 0 0 1 61 1 4 0 0 0 82 2 1 1 0 0 71 2 2 0 1 0 45 2 3 0 0 1 65 2 4 0 0 0 87 3 1 1 0 0 67 3 2 0 1 0 57 3 3 0 0 1 58 3 4 0 0 0 78 4 1 70.666666667 4 2 51.666666667 4 3 61.333333333 4 4
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