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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.

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Q: Why isnt it necessary for all of the data points to be on the drawn line of the graph?
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Related questions

A smooth line drawn between points on a graph to reflect the general pattern of data is called?

line of best fit x


Why isn't necessary for all of the data points to be on the drawn line of the graph?

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!


Why is it important to have all of the parts of a graph clearly labeled and drawn?

A graph has to be clearly labelled and drawn for clarity and to aid the correct interpretation of the data shown on the graph.


What type of graph would be best for data points?

A scatter plot would be best for non-related data points. A line graph would be best for related data points.


What graph has a finite or limited number of data points is?

A discrete graph.


What is the name of the graph that often connects data points?

Line graph...


A line graph in which the data points yield a straight line?

linear graph


Which type of graph shows a relationship between data?

Any kind of properly drawn graph does. That's what graphs do.


What is a graph with lines connected to data points called?

either a scatter graph or a line graph xx :)


When do you connect the data points on a graph?

It depends on what you are trying to do.


Where do data points fall on a linear graph?

Maths


What kind of graph shows changes to data over time with points connected to each other?

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.