Exam 11: Bivariate Correlation

When discussing correlation, what does 'r' stand for?

After plotting your data on a graph and visually inspect it, you notice that there is a trend of data points starting the bottom left and going toward the upper right of you plot. How would you describe this relationship?

If you would like to examine the relationship between one dichotomous variable and one continuous variable, which type of correlation coefficient would you use?

If you have a curvilinear relationship and the Pearson product moment correlation coefficient is close to zero, what can you conclude about the relationship between the variables?

The absolute value of the correlation coefficient refers to the ___________________ of the relationship.

Mary performs an analysis of the relationship between volunteer age and amount of time spent volunteering. She finds that people volunteer a lot when they are younger, then they do not volunteer much during the middle portion of their life, and finally they volunteer a lot at the end of their life. How would you describe this type of relationship?

The variables examined in a Person product moment correlation have what level of measurement?

Malcolm is interested in the relationship between health and income. He hypothesizes that as household income increases; the long-term health of the individual also increases. This is an example of what type of hypothesized relationship?

A correlation coefficient of -.79 is a very weak relationship.

As one variable increases, another variable also increases, is a statement about how the variables ___________________.

If you have two categorical variables, you could you a point biserial analysis to examine the relationship.

After graphing your data, you find that the data points form a perfectly horizontal line across your plot. How would you describe this relationship?

In Mary's case, if she hypothesizes that as age increases, the number of hours volunteered also increases. What type of hypothesized relationship is she describing?

How would a perfect correlation (r=1) between two variables look on a scatterplot?

After finding a statistically significant result for a correlation you can make a claim that you have demonstrated a cause and effect relationship.

After performing a correlation analysis you find a correlation coefficient of .05. How would you assess the strength of the relationship?