) Researcher wants to look at the correlation between class attendance and grade in class (higher numbers indicating a higher grade). The researcher found the following result r = .82. The correlation coefficient tells researchers two pieces of information, the strength of the relationship and the direction of the relationship.

a. What does the strength of the relationship mean?
b. What does the direction of the relationship mean (define positive correlation and negative correlation)?
c. Interpret the findings of the research presented.

a. how close the value is to ± 1, which indicates perfect predictability and farther from 0, which indicates no predictability.

b. Positive correlation = variables increase/decrease together. Negative correlation = one variable increase when the other decreases.

c. I'll let you do the interpretation.

a. The strength of the relationship, indicated by the correlation coefficient (r), tells us how closely the two variables in question (class attendance and grade) are related to each other. In this case, the correlation coefficient of .82 implies a strong positive relationship between class attendance and grade.

b. The direction of the relationship, indicated by whether the correlation coefficient is positive or negative, tells us about the nature of the relationship between the variables. In a positive correlation, as one variable increases, the other variable also tends to increase. In this scenario, it means that as class attendance increases, the grade also tends to increase. On the other hand, a negative correlation implies that as one variable increases, the other variable tends to decrease.

c. Based on the findings of the research presented, it can be interpreted that there is a strong positive relationship between class attendance and grade. This means that students who attend class more frequently tend to have higher grades. However, it's important to note that correlation does not necessarily imply causation. Further investigation would be needed to determine the cause and effect relationship, and to rule out any confounding factors that might affect both class attendance and grades.