Consider your work environment, domain of interest, or everyday life, and identify two variables that are positively correlated and two variables that are negatively correlated. Explain why your correlation examples are positive and negative. Review a peer example, and discuss areas of difference.
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JESSICA:
There are various examples of variables that a person can observe in daily life, and while some of them are positively correlated, others are negatively correlated. Correlation acts as a representative of the relationship that two variables have (Weaver et al., 2017). Two of the variables that I perceive to have a positive correlation include a days temperature and the number of individuals that purchase ice cream. I often observe that whenever the days temperature is above average, the number of people who purchase ice cream also increases. On the other hand, when temperatures are cooler than average, it would be quite rare to find a person buying ice cream.
Some of the variables that I have observed having a negative correlation include the number of hours I work and my ability to socialize with people close to me. By evaluating the relationships that different variables have, it is possible for one to provide answers to hypotheses through experiments (Creswell & Creswell, 2018). Thus, I can hypothesize that the longer the time I spend working, the probability of socializing with friends reduces and evaluate the same through an experiment.
Even without conducting an experiment, I can ascertain that the two identified variables have a negative correlation. When I increase the number of hours that I spend at work, I would have less time for recreational activities, including socialization with friends. However, after I reduce the number of hours I spend at work, I would have a broader range of choices whenever I decide to utilize my free time. In this regard, I can socialize with my family members or friends more when I spend less time at work.
References
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.
Weaver, K., Morales, V., Dunn, S., Godde, K., & Weaver, P. (2017). An introduction to statistical analysis in research. John Wiley & Sons.
