What is the Coefficient of Determination for Supermarket Sales Data?

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The discussion focuses on calculating the coefficient of determination (R²) for supermarket sales data based on an adjusted R² of 93.85%. The original poster notes a lack of information regarding the number of observations (n) and independent variables (k), which are essential for determining R². It is assumed that n equals 12 (the number of stores) and k equals 1, indicating a simple regression model. The conversation emphasizes the need for these parameters to accurately compute the coefficient of determination. Ultimately, the calculation hinges on understanding the relationship between the adjusted R² and the standard R² in the context of regression analysis.
adeel
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Ive been posting many questions, hopefully the alst for awhile:

You have collected data on sales and population within a one mile radius on 12 stores of a supermarket. You determined that the adjusted coefficient of determination is 93.85%. Determine the coefficient of determination.


I think there isn't enough info, but I guess I could be missing something
 
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I am going to assume "coefficient of determination" is the R2 coefficient. See http://www.csus.edu/indiv/j/jensena/mgmt105/adjustr2.htm . You have to determine what your n (number of observations) and k (number of Independent Variables) are. The problem you posted does not give you these.
 
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n = 12 (number of stores)

k = 1---> one independent variable, one dependent (I can asume single regression)

also, its r^2 because its a sample
 
You're home free then, are you not?
 

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