Over the past decade or so, Starbucks has grown quite rapidly. As they add stores and increase ...

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Over the past decade or so, Starbucks has grown quite rapidly. As they add stores and increase the number of drinks, their sales revenue increses. In reflecting about this growth, think about some other variables that might be related to the increase in starbucks sales revenues. Some data for the past seven years on the number of starbucks stores (worldwide), approximate sales revenue (in millions), number of different drinks sold, and average weekly earnings of U.S production workers are given here. Most figures are approximate. Develop a multiple regression model to predict sales revenue by the number of drinks sold, number of stores, and average weekly earnings. How strong is the model? What are the key predictions, if any? How might this analysis help Starbucks managment in attempting to determine what drives sales revenues?

  

Sales Year


Revenue


# of   stores


# of   Drinks


Avg weekly   earnings

 

1


400


676


15


386

 

2


700


1015


15


394

 

3


1000


1412


18


407

 

4


1350


1886


22


425

 

5


1650


2135


27


442

 

6


2200


3300


27


457

 

7


2600


4709


30


474

    • 8 years ago
    Regression output is shown above. The independent variables are # of stores ...
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