Relationship covariates
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The document discusses covariates and their impact on relationships between variables. It defines a covariate as a variable that is controlled for or eliminated from a study. It explains that if a covariate is related to one of the variables in the relationship being examined, it can impact the strength of that relationship. Examples are provided to demonstrate when a question involves a covariate or not.
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Relationship covariates
- 1. Is there a covariate in the relationship question? Covariate No Covariate
- 2. • What is the correlation between driving speed (scaled) and caffeinated drink consumption (scaled) after controlling for age (scaled)? Covariate
- 3. • What is the correlation between driving speed (scaled) and caffeinated drink consumption (scaled) after controlling for age (scaled)? Covariate Covariates are variables that are eliminated from the study.
- 4. • What is the correlation between driving speed (scaled) and caffeinated drink consumption (scaled) after controlling for age (scaled)? Covariate Covariates are variables that are eliminated from the study. If the covariate is related to one of the variables than it can impact the strength of the relationship.
- 6. Is there a relationship between shoe size and running speed? Covariate No Covariate
- 7. Is there a relationship between shoe size and running speed? Covariate No Covariate
- 8. Next Example
- 9. Is there a relationship between decibel sound level and hearing loss controlling for ear lobe size? Covariate No Covariate
- 10. Is there a relationship between decibel sound level and hearing loss controlling for ear lobe size? Covariate No Covariate
- 11. Is there a relationship between decibel sound level and hearing loss controlling for ear lobe size? Covariate No Covariate
- 12. Is there a covariate in the relationship question? Covariate No Covariate