In an experiment, the observations always have some kind of random error. It could also be that the relationship between the variables is such that it can't be represented by a smooth line.
If the data points do form a perfectly smooth line, you have probably 'cooked' the results, and it will be obvious that you haven't performed the experiment!
A scatter plot would be best for non-related data points. A line graph would be best for related data points.
Line graph...
line graph
Scatterplot
The five steps for creating a graph typically include: 1) Choosing the type of graph that best represents your data (e.g., bar, line, pie). 2) Collecting and organizing your data to ensure clarity and accuracy. 3) Labeling the axes appropriately, including titles and units of measurement. 4) Plotting the data points accurately on the graph. 5) Adding a legend or key if necessary, and ensuring the graph is visually clear and informative.
The line of a graph is quite often used to indicate the average of various data points that fall both above and below the line. Very jagged lines get smoothed out, but the trend is the same.
line of best fit x
A scatter plot would be best for non-related data points. A line graph would be best for related data points.
To get data from a graph efficiently, you can use the gridlines and labels on the axes to determine the values of the data points. You can also use a ruler or a straight edge to help you accurately read the data points from the graph.
A discrete graph.
Line graph...
linear graph
It depends on what you are trying to do.
Maths
either a scatter graph or a line graph xx :)
Any kind of properly drawn graph does. That's what graphs do.
A line graph is used to display data over time with points connected by lines. This type of graph highlights trends and patterns in the data.