Does prison really deter violent crime? Let x represent percent change in the rate of violent crime and y represent percent change in the rate of imprisonment in the general U.S. population. For 7 recent years, the following data have been obtained. x 6.5 5.3 3.9 5.2 6.2 6.5 11.1 y −1.7 −4.5 −6.4 −4.0 3.6 −0.1 −4.4 given Σx = 44.7,  Σy = −17.5,  Σx2 = 316.49, Σy2 = 112.43,  Σxy = −107.83,  and r ≈ 0.0849.  Find the value of the coefficient of determination r2. What percentage of the variation in y can be explained by the corresponding variation in x and the least-squares line? What percentage is unexplained? (Round your answer for r2 to four decimal places. Round your answers for the percentages to two decimal place.)

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Does prison really deter violent crime? Let x represent percent change in the rate of violent crime and y represent percent change in the rate of imprisonment in the general U.S. population. For 7 recent years, the following data have been obtained.
x 6.5 5.3 3.9 5.2 6.2 6.5 11.1
y
−1.7
−4.5
−6.4
−4.0
3.6
−0.1
−4.4

given Σx = 44.7, 

Σy = −17.5,

 Σx2 = 316.49, Σy2 = 112.43, 

Σxy = −107.83,

 and r ≈ 0.0849.

 Find the value of the coefficient of determination r2. What percentage of the variation in y can be explained by the corresponding variation in x and the least-squares line? What percentage is unexplained? (Round your answer for r2 to four decimal places. Round your answers for the percentages to two decimal place.)

r2 =  
explained      %
unexplained      %
Considering the values of r and r2, does it make sense to use the least-squares line for prediction? Explain your answer.
The correlation between the variables is so high that it does not make sense to use the least-squares line for prediction.
The correlation between the variables is so low that it makes sense to use the least-squares line for prediction.    
The correlation between the variables is so low that it does not make sense to use the least-squares line for prediction.
The correlation between the variables is so high that it makes sense to use the least-squares line for prediction.
 
 
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