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A supermarket ran a linear regression of the number of cans of soup sold (y) against daily temperature (x) in degrees Fahrenheit, for an entire year’s worth of data. The resulting regression equation was y = 300 – 1.5 x. The R2 for the regression was 0.25. What was the correlation between temperature and cans of soup sold? A.0.548 B.0.5 C.-0.5 D.-0.0625

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A supermarket ran a linear regression of the

number of cans of soup sold (y) against daily temperature (x) in degrees Fahrenheit, for an entire year’s worth of data. The resulting regression equation was y = 300 – 1.5 x. The R2 for the regression was 0.25. What was the correlation between temperature and cans of soup sold?

A.0.548

B.0.5

C.-0.5

D.-0.0625

 
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