Regression has many applications from projecting student academic growth to the
ID: 3291303 • Letter: R
Question
Regression has many applications from projecting student academic growth to the amount of medicine a person should receive based on their weight. This being said it is difficult to control all variables. Define in your own words what a lurking variable is and give an example (different than your classmates) of a potential lurking variable in your specific area of study or major of interest. Please remember to post a response to these questions as well as at least 2 responses to others and on two different days. Please post questions to your classmates to generate your own discussion and answers. Usually the students in the class either have similar questions or will be able to answer problems faster than I will be able to. Be sure to respond to at least two other students posts on at least two different days in order to receive full credit for this discussion board.Explanation / Answer
Solution:
Sometimes, we will find a relationship between two variables statistically, but it is not always true that the variation in dependent variable is a result of variation in independent variable. So, when we assume that there exist such a relation, this may not always hold true. For example, in a study, it was found that people who consume more wine regularly, were having a higher life expectancy. So, the researcher may conclude that wine adds to the life expectancy of a person. But in real life, the people who drink wine regularly are richer people and hence they can afford better healthcare facilities. This is the real reason why life expectancy is high for those people. Here, the fact that they are rich, (wealth of the person) is the lurking variable. The lurking variable is the real causative factor for a particulat behaviour. So, a lurking variable is the external or hidden variable that is the actual causative factor for the relationship between the variables that are considered in the study.