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In each example, explain whether there is a significant linear correlation between the two variables, and...
In each example, explain whether there is a significant linear correlation between the two variables, and determine what proportion of the variation can be explained by the linear association between the variables: Linear correlation coefficient between bear chest size and weight is 0.993, N = 21 Linear correlation coefficient between the number of registered automatic weapons and the murder rate is 0.885, N = 1000 Linear correlation coefficient between the weight in female subjects and the BMI metric is 0.936, N = 40 Linear correlation coefficient between the weight in female subjects and the pulse rate is 0.143, N = 40
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