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Statistics · Studypool

Relationships between Variables

In this lesson, you will run a correlation between resting and after-exercising heart rates to determine if a linear relationship exists between the two variables and how strong the relationship is.

Steps

  1. Open the Heart Rate Data Set 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).
  2. Use the Scatter Plot function in the Insert Charts section of Excel to create a scatter plot of the X and Y variables.
  3. Add a trendline to the scatter plot.
  4. Use the Data Analysis tools in Excel to find the regression equation.
  5. 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?