They can do, but there are some circumstances where they may not be particularly useful.
If, for example, the observations are not in order of the values of the independent variable, then a line plot will be difficult to read. If there are several different values of the dependent variable for a single value of the independent variable, the graph may be difficult to interpret. If there are two or more observations where the values of both variables are the same, the graph may not indicate that the point is in fact a multiple observation.
A Histogram, a line plot and a line graph.
Line graph
line graph
line graph
It could be a frequency chart.
Line plots are best used to show trends over time or to display continuous data points. They are useful for visualizing how one variable changes in relation to another. Line plots are effective in highlighting patterns or fluctuations in data and are commonly used in data analysis and research.
Line Graphs: have lines connecting each graphed data. Line Plots: have Xs for each time the value is repeated.
I think line plots are used to collect a numerous of data.
Shows Frequency In A Set Of Data With X's.
Tables, line plots, and bar graphs all help display information. Tables serve best to compare information that isn't necessarily graph-able. A line plot helps show the progression of the data, and bar graphs help compare data between multiple entities.
Points are useful to represent individual data values or observations in a dataset. They can provide a visual representation of the data and help identify patterns, trends, or outliers in the data. Points are commonly used in scatter plots, line graphs, and other types of data visualization.
When there is a large number of numbers in a collection of data, it becomesimportantto organize the data in a meaningful way to make analysis easier. ...Organizing data in stem-and-leaf plots, double bar graphs, frequency tables, histograms, line plots, and line graphs makes data easier to understand and to use
sht up
Line graphs are used to display data to show how one variable (the Responding variable) changes in response to another variable (the Manipulated variable).
line graph
You can use different colors or symbols to differentiate between the different plots.
line plot