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 5.5 3.5 5.2 6.2 6.5 11.1 y −1.5 −4.5 −6.2 −4.0 3.6 −0.1 −4.4    given Σx = 44.5, Σy = −17.1, Σx2 = 315.69, Σy2 = 109.27, Σxy = −104.17,  and r ≈ 0.0964.   a) 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      % b) Considering the values of r and r2, does it make sense to use the least-squares line for prediction? Explain your answer. choose one: The correlation between the variables is so high that it makes 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 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 does not make sense to use the least-squares line for prediction.

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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 5.5 3.5 5.2 6.2 6.5 11.1
y
−1.5
−4.5
−6.2
−4.0
3.6
−0.1
−4.4
 

 given Σx = 44.5, Σy = −17.1, Σx2 = 315.69, Σy2 = 109.27, Σxy = −104.17,

 and r ≈ 0.0964.

 

a) 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      %


b) Considering the values of r and r2, does it make sense to use the least-squares line for prediction? Explain your answer. choose one:

The correlation between the variables is so high that it makes 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 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 does not make sense to use the least-squares line for prediction.
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