Using the time series data in the table, respond to the following items.   Period Sales 1 $ 615   2   678   3   761   4   710   5   784   6   801   7   852   8   698   9   1,193   10   1,115   11   1,231   12   1,259   13   1,495   14   1,229   15   1,652   16   1,337   17   1,673   18   1,613

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter12: Probability
Section12.3: Conditional Probability; Independent Events; Bayes' Theorem
Problem 81E
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Using the time series data in the table, respond to the following items.
 

Period Sales
1 $ 615  
2   678  
3   761  
4   710  
5   784  
6   801  
7   852  
8   698  
9   1,193  
10   1,115  
11   1,231  
12   1,259  
13   1,495  
14   1,229  
15   1,652  
16   1,337  
17   1,673  
18   1,613  
 
 

 
 
d-1. Compute all possible forecasts using a trend forecasting model using simple linear regression? (Round your answers to 3 decimal places.)

Period Sales Predicted Sales Absolute Error
1 615    
2 678    
3 761    
4 710    
5 784    
6 801    
7 852    
8 698    
9 1,193    
10 1,115    
11 1,231    
12 1,259    
13 1,495    
14 1,229    
15 1,652    
16 1,337    
17 1,673    
18 1,613    
 



d-2. What is the MAD? (Round your answer to 3 decimal places.)

 



d-3. What is the trend equation based on the regression analysis? (Round your answers to 3 decimal places.)

Sales =  __________ + _______________ time period



e. What is the predicted annual change of industry sales? (Round your answer to 3 decimal places.)

 



f. Predict sales for the next three periods. (Round your answer to 3 decimal places.)

  Predicted Sales
Sales (19)  
Sales (20)  
Sales (21)  
 
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