Refer back to the previous exercise that explores the association between children’s heights and (biological) mothers’ heights. The data file DadandChildHeights contains data for students in a statistics class on the following two variables: student’s height (inches) and biological father’s height (inches). Enter the data into the Corr/Regression applet.
a. Identify the type of study: randomized experiment or observational study.
b. Identify the experimental/observational units in this study.

c. Identify the two variables of interest and whether each is categorical or quantitative. Which variable do you think makes more sense to use as the explanatory variable and which as the response variable?
d. Produce a scatterplot and comment on the association between the variables as revealed in the scatterplot. (Remember to comment on form, direction, strength, and unusual observations.)
e. Report the value of the correlation coefficient. Does the value of the correlation coefficient support your answer in part (d)? Explain how you are deciding.

Data from previous exercise

In 1885, Sir Francis Galton first used regression to explore the association between children’s heights and (biological) parents’ heights. The data file MomandChildHeights contains data for students in a statistics class on the following two variables: student’s height (inches) and biological mother’s height (inches). Enter the data into the Corr/ Regression applet.