Final answer:
Quantitative representations suitable for the relationship between years of schooling and annual salary include histograms for salary levels, box plots for salary distributions, and scatter plots for showing the correlation between education and salary. Word clouds and survey completion infographics are not quantitative methods.
Step-by-step explanation:
To represent the relationship between the number of years of schooling and the annual salary earned by a group of people quantitatively, one can use different types of graphical representations. Firstly, a histogram is suitable for displaying salary levels as this type of graph is used for continuous data and can show the distribution of salaries. Secondly, a box plot is another effective representation that can show the median, quartiles, and outliers in the salary data. Thirdly, a scatter plot is an excellent choice to show the relationship between the two variables: years of education and salary. This type of graph allows for the observation of trends or patterns that may indicate a correlation between education and earnings.
However, a word cloud is not a quantitative representation and, therefore, not suitable for showing the number of years of education. Similarly, an infographic detailing how the survey was completed does not quantitatively represent the relationship between the variables in question. These are more qualitative representation methods.