Compute for the Pearson Product Moment Correlation Coefficient of the following data set. Interpret the results. 1. The body temperature (upon time of collecting the blood sample) (x) and the blood sugar level (y) of 10 randomly selected adults. Body Temperature (in °C) (x) Blood sugar level (in percent) (y) 36 37.2 36.7 36.2 36.3 35.6 36.2 37.1 35.9 35.6 1.8 5.9 4.0 2.3 3.6 2.3 2.2 5.3 2.6 2.7

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Compute for the Pearson Product Moment Correlation Coefficient of the following data set. Interpret the results.
1. The body temperature (upon time of collecting the blood sample) (x) and the blood sugar level (y) of 10 randomly selected adults.
Body Temperature (in °C) (x)
Weight (in lbs) (x)
36
Blood sugar level (in percent) (y)
5.9 4.0 2.3 3.6 2.3 2.2 5.3 2.6 2.7
2. The weight (x) and the accuracy (y) of 10 randomly selected cadets when using police standard sidearm.
Accuracy of shooter (in percent) (y)
37.2 36.7 36.2 36.3 35.6 36.2 37.1 35.9 35.6
1.8
143.9 169 177.5 148 142.9 177.6 150.8 173.3 154.1 171.1
56 75 71 55 86 75 61 81 73 70
Transcribed Image Text:Compute for the Pearson Product Moment Correlation Coefficient of the following data set. Interpret the results. 1. The body temperature (upon time of collecting the blood sample) (x) and the blood sugar level (y) of 10 randomly selected adults. Body Temperature (in °C) (x) Weight (in lbs) (x) 36 Blood sugar level (in percent) (y) 5.9 4.0 2.3 3.6 2.3 2.2 5.3 2.6 2.7 2. The weight (x) and the accuracy (y) of 10 randomly selected cadets when using police standard sidearm. Accuracy of shooter (in percent) (y) 37.2 36.7 36.2 36.3 35.6 36.2 37.1 35.9 35.6 1.8 143.9 169 177.5 148 142.9 177.6 150.8 173.3 154.1 171.1 56 75 71 55 86 75 61 81 73 70
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