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Use the following (partial) SPSS output to calculate the correlation coefficient for the data from which this output was generated: Descriptive Statistics Mean Std. Deviation N Heart rate (bpm) 68.47 10.587 809 Amount of ex ercise per week 5.42 4.970 309 (hrs) Correlations Amount of exercise per Heart rate (bpm) week (hrs) Heart rate (bpm) Pearson Correlation Sig. (2-tailed) Sum of Squares and Cross- -10463.267 products Covariance Amount of exercise per week Pearson Correlation (hrs) Sig. (2-tailed) Sum of Squares and Cross- -10463.267 19957.467 products Covariance -12. 950 24.700 ** Correlation is significant at the 0.01 level (2-tailed). ANOVAa Sum of Model Squares df Mean Square F sig. Regression 5485.664 5485.664 2.030 .001 Residual 85084.067 807 105.433 Total 90569.731 808 a. Dependent Variable: Heart rate (bpm) b. Predictors: (Constant), Amount of exercise per week (hrs) Difficulty: Hard The correlation coefficient is (to 3dp)