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In: Statistics and Probability

As a researcher, you will be considering the relationships between variables regularly. Linear correlation is the...

As a researcher, you will be considering the relationships between variables regularly. Linear correlation is the most basic relationship that may exist between two variables. This assignment will you give the opportunity to see how statistics can start to answer the research questions you will be faced with in your field of study.

Correlation Project Directions:

Consider a possible linear relationship between two variables that you would like to explore.

  1. Define the relationship of interest and a data collection technique.
  2. Determine the appropriate sample size and collect the data.
  3. Perform the appropriate analysis to determine if there is a statistically significant linear relationship between the two variables. Describe the relationship in terms of strength and direction.
  4. Construct a model of the relationship and evaluate the validity of that model.

Answer each question with complete sentences and include all relevant Excel files requested.

  1. What are the two variables of interest? What linear relationship are you interested in exploring? The first variable of interest is the height of a father (x) and the height of their son (y). I’m interested in exploring whether tall fathers end up having tall sons.
  2. Which data collection technique was used and why is it best?
  3. What sample size is best for this data set and why?
  4. Collect the data. Explain any issues you had during data collection. Include the Excel data file with your submission.
  5. Develop a linear model of this relationship. Include the Excel output file. Give the equation of the linear model (aka regression line) here.
  6. Is there a statistically significant relationship between the two variables? Describe the relationship in terms of strength and direction. Show your work by including the Excel output file.

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