Final answer:
Creating a scatter plot involves plotting data points with the year on the x-axis and catalog album sales on the y-axis, then selecting a plot type such as linear, quadratic, exponential, or logarithmic based on the observed relationship.
Step-by-step explanation:
In constructing a scatter plot using the year number as the x-coordinate and catalog album sales as the y-coordinate, you can choose from various types of plots based on the relationship you expect between the variables. If you suspect a direct proportional relationship, you would use a linear plot. If you believe the growth is compounded, an exponential plot is appropriate. If the change accelerates or decelerates at a nonlinear rate, then a quadratic plot might be used. Lastly, for relationships that increase very quickly at first and then level off, a logarithmic plot might be the best representation.
A sample dataset and the selection of the type of plot would depend on the specific statistics of catalog album sales over time. For instance, if the sales numbers roughly doubled each year, an exponential relationship might be fitting. If they increase by a certain amount each year, that could suggest a linear relationship.
To create a scatter plot, plot each data point on the graph with the corresponding year on the x-axis and the catalog album sales on the y-axis. Once all points are plotted, you can observe the overall pattern and decide which type of plot, such as linear or quadratic, best fits the data. Remember that a line graph, not to be confused with a scatter plot, typically uses one or more lines to connect data points and show trends over time.