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Students will demonstrate understanding of the application of correlation and regression to address public health questions and discuss how the correlation is similar and dissimilar with regression. How are these statistical methodologies used to measure association between two variables? Students will analyze the following scenario: A researcher believes that there is a relationship between blood lipids of obese mothers and the low birthweight of their newborn. Students will discuss the most appropriate statistical approach to test this hypothesis. Is there a cause-and-effect relationship? Students will interpret the results by answering the following questions: Is there a correlation to your findings that can influence public health decisions? How do your data findings influence decisions of the researcher versus the mother? For example, will the mother modify her lifestyle for the health of the baby based on the findings? Will this help public health officials in providing guidance on policies for expectant mothers in the future? Why or why not?
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