Title: Example 2: Discussion (2)
Course: UGQuants (SSPS) > Section: Data Visualisation

example 2

Frankly, this graph is worse. It exaggerates the observed effect by shortening the y-axis. Furthermore, it uses age categories that do not really apply in this case. If you look carefully at the scatterplot, you will notice that data points are only available for people aged 45 and over - younger people have apparently not been asked when they would like to retire. The line graph completely hides this fact by presenting a 31 to 45 age group.

Overall, it would in this case be much better to not present your findings in a graph but to discuss them in text with measures of association (R=0.138 with p<0.001) and perhaps the average preferred retirement age using smaller age intervals. Graphs are not always the best and easiest solution.