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  1. Biostatistics
  2. Correlation and Linear Regression
  3. Reflection on Biostatistics Topic 5

Reflection on Biostatistics Topic 5

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The reading for this discussion topic is pp. 133-168 in the e-book. 

Question:

Much research focuses on the relationships between variables, often with one of the variables considered a dependent variable and the others  independent (predictor) variable.

  • Give an example in your field of a dependent variable and a set of predictor variables that may be related to the dependent variable. For example, you may want to know if ITN use is related to age, gender, education and marital status. 
  • Do you think your predictor variables are related to each other? If so, briefly describe how you think the variables are related.
  • Do you think the relationship between pairs of predictors is linear?   
  • What disadvantages do you see to examining the relationship of each of the predictor variables with the dependent variable, ignoring the other predictor variables?

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