stat w 7
2 years ago
10
statw7.docx
stat7rubric.docx
- HeartRateDataSetE5.xlsx
statw7.docx
Instructions
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?
Review these videos as needed to complete this assignment.
Additional Instructions:
Your assignment should be typed into a Word or other word-processing document, formatted in APA style. The assignments must include
Running head
A title page with
Assignment name
Your name
Professor’s name
Course
Estimated time to complete: 3 hours
stat7rubric.docx
MA320 Unit 7 Assessment
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MA320 Unit 7 Assessment |
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Criteria |
Ratings |
Pts |
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This criterion is linked to a Learning OutcomeContent MA320-CO1; MA320-CO3 |
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25 pts |
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This criterion is linked to a Learning OutcomeAnalysis |
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30 pts |
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This criterion is linked to a Learning OutcomeTechnology |
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10 pts |
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This criterion is linked to a Learning OutcomeWriting |
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5 pts |
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This criterion is linked to a Learning OutcomeAPA |
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5 pts |
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Total Points: 75 |
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