SUMMARY OUTPUT Regression Statistics Multiple R R Square 0.857 0.734 Adjusted R Square 0.703 Standard Error 5.366 Observations 20 ANOVA df MS Significance F 0.00 Regression 2 1350.76 675.38 23.46 Residual 17 489.44 28.79 Total 19 1840.20 Coefficients Standard Error tStat P-value Lower 95% Upper 95% Intercept 67.67 2.82 24.03 0.00 61.73 73.61 hours 5.56 0.90 6.18 0.00 3.66 7.45 prep exams -0.60 0.91 -0.66 0.52 -2.53 1.33 a. What is the value of r?? What is the practical meaning of this value? b. What is the coefficient of Hours? Interpret this value.

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