Read/review the following resources for this activity:
- Textbook: Chapter 12 (All Sections)
- Minimum of 1 scholarly source
Initial Post Instructions
Medical professionals can find relationships between variables. The more you drink alcohol, the less functionality of your liver. The less carbohydrates a person intakes, the lower their Body Mass Index.
Data can be collected and organized as an ordered pair (x, y). The data can be analyzed to determine the type and strength of a correlation and to calculate a regression line in order to make a prediction.
Use the internet to find a data set of ordered pairs. Key terms to search: Free Public Data Sets and Medical Data Sets.
Create a Post:
Introduce your Data Set and Cite the Source.
- Which would be the independent variable, and which would be the dependent variable?
- Without drawing a scatter plot, would you expect a positive, negative or no correlation? Explain.
- Would you categorize your data to have a strong or weak correlation? Why?
- What would the r2 value tell you about the data that you selected?
- What is the equation of the regression line?
- Use the regression line to make a prediction about the data you collected.
Follow-Up Post Instructions
Respond to at least two peers or one peer and the instructor. Further the dialogue by providing more information and clarification.
Here are suggested responses.
- Review the data of a peer. List the parts of the analysis that you agree with and why. Ask one clarifying question.
- Compare the analysis of two pieces of data until you find two that have a similar report. What are the subjects of those reports and why do you think they would have the same analysis?
- Minimum of 3 posts (1 initial & 2 follow-up)
- APA format for in-text citations and list of references
This activity will be graded using the Discussion Grading Rubric. Please review the following link:
- Link (webpage): Discussion Guidelines
Course Outcomes (CO): 8
Due Date for Initial Post: By 11:59 p.m. MT on Wednesday
Due Date for Follow-Up Posts: By 11:59 p.m. MT on Sunday
The sample data I discovered online shows the relationship between ice cream sales for particular days and the noon-temperature of that day (Scatter Plots, n.d.). The data set is shown below.
|Temperature °C||Ice Cream Sales ($)|
The independent variable would be the temperature and the dependent variable would be the ice cream sales. It can be observed from the table…Please click the icon below to purchase the full answer at only $5.