Identifying the Weak Positive Correlation- A Comprehensive Guide
Which of the following represents a weak positive correlation?
Understanding the concept of correlation is essential in various fields, including statistics, psychology, and economics. Correlation refers to the relationship between two variables, and it can be positive, negative, or zero. In this article, we will focus on identifying a weak positive correlation among a set of given examples. A weak positive correlation indicates that as one variable increases, the other variable also tends to increase, but the relationship is not very strong. Let’s explore some examples to determine which one represents a weak positive correlation.
In Example A, the relationship between the number of hours studied and the test scores is examined. As the number of hours studied increases, the test scores also tend to increase. However, the correlation is weak because the increase in test scores is not substantial, and there are some instances where the scores decrease despite the increase in study hours.
Example B involves the relationship between the number of hours spent exercising and the weight loss. In this case, as the number of hours spent exercising increases, weight loss also tends to increase. However, the correlation is weak because there are some individuals who have not experienced significant weight loss despite exercising for extended periods.
Example C presents the relationship between the number of hours spent watching television and the level of stress. As the number of hours spent watching television increases, the level of stress tends to decrease. This example represents a weak positive correlation because the decrease in stress is not very significant, and there are instances where stress levels remain high despite the increase in television watching.
Example D examines the relationship between the number of hours worked and the income earned. As the number of hours worked increases, income tends to increase. However, the correlation is weak because the increase in income is not proportional to the increase in working hours, and there are instances where income remains the same or even decreases despite the increase in working hours.
After analyzing the given examples, it is clear that Example C, which represents the relationship between the number of hours spent watching television and the level of stress, is the one that demonstrates a weak positive correlation. Although there is a tendency for stress levels to decrease as television watching increases, the correlation is not very strong, and the decrease in stress is not substantial.
