Run a correlation between the resting and after exercising heart rates to determine if a linear relationship exists between the two variables and how strong the relationship is.
In this lesson, you will run a correlation between the resting and after exercising heart rates to determine if a linear relationship exists between the two variables and how strong the relationship is.
Steps
Open the Heart Rate Dataset in Excel and identify the X-variable (resting heart rates for all 200 participants) and the Y-variable (after exercise heart rates for all 200 participants).
Use the Scatter Plot function in the Insert Charts section of Excel to create a scatter plot of the X and Y variables
Add a trendline to the scatter plot
Use the Data Analysis tools in Excel to find the regression equation.
In a Word document, describe the relationship between the X-variable (resting heart rate)and the Y-variable (after exercise heart rate).
Graph the scatter plot with a trend line. Does it appear there is a linear relationship? What does this mean?
Calculate the correlation coefficient r using excel. Is this r (value) high compared to +1? Based on the correlation coefficient is the relationship strong?
Use excel to find the regression equation. Identify the slope. What does it tell us in terms of our heart rate data?
Review these videos as needed to complete this assignment.
Creating an XY Scatter Plot in Excel
Using Excel to Calculate a Correlation Coefficient
Directions: This video does a very good job explaining correlations as well as how to produce the correlation coefficient in Excel.
Additional Instructions:
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Answer preview to run a correlation between the resting and after exercising heart rates to determine if a linear relationship exists between the two variables and how strong the relationship is.
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