How Does Population Affect Supermarket Sales?

AI Thread Summary
The discussion focuses on the relationship between population and supermarket sales, highlighted by an adjusted coefficient of determination of 93.85%. This high adjusted value indicates that a significant portion of sales variation can be explained by the population within a one-mile radius. The coefficient of determination, or R-squared, is not directly provided and cannot be calculated without the raw data. Participants suggest verifying if additional information is available to determine the actual R-squared value. Understanding these statistical measures is crucial for analyzing the impact of population on sales performance.
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 sitn enough info, but I guess I could be missing something.
 
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sorry, did i post in the wrong section
 


Hi there,

The coefficient of determination, also known as R-squared, is a statistical measure that indicates the percentage of variation in the dependent variable (sales) that can be explained by the independent variable (population). It ranges from 0 to 1, with 1 being a perfect fit.

In this case, the adjusted coefficient of determination is 93.85%, which means that 93.85% of the variation in sales can be explained by the population within a one mile radius. This is a high value, suggesting a strong relationship between sales and population.

To determine the coefficient of determination, we would need to know the actual value of R-squared. However, without the raw data, it is not possible to calculate it. I would suggest double-checking your question to see if there is any additional information that can help us determine the coefficient of determination.

I hope this helps. Best of luck with your research!
 
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