Joey recorded his heart rate in beats per minute (bpm) after doing different numbers of jumping jacks His results are shown in the table below

Respuesta :

The linear regression equation that estimates the heart rate per number of jumping jacks is: y=1.72x + 69.4; the correlation coefficient of the linear regression equation is 0.97.

Linear regression equation and correlation coefficient

a. Linear regression equation:

We would make used of graphing calculator in order to determine the linear regression equation by plugging the below given data and then  click on stats  so as to perform a linear regression.

Given table:

(x, y), (0, 68), (10, 84), (15, 104), (20, 100), (30, 120)

Hence:

a = 1.72

b = 69.4

Equation

y = ax + b

y = 1.72x + 69.4

b. Correlation coefficient :

Correlation coefficient = 0.967

Correlation coefficient=0.97  (nearest hundredth)

Analysis:

The above correlation coefficient shows a strong positive correlation between the number of jumping jacks and the heart rate.

Therefore the linear regression equation that estimates the heart rate per number of jumping jacks is: y=1.72x + 69.4; the correlation coefficient of the linear regression equation is 0.97.

Learn more about Linear regression equation and correlation coefficient here: https://brainly.com/question/16814950

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