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Q: How many data points do you need to make a linear graph?
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In a coordinate graph of two related variables when does it make sense to connect the points?

When the data on the graph is continuous,it does make sense to connect the points on the graph of 2 related variables.


How does connecting the points on a graph affect your data analysis?

They make points in space related to each other. Now they are connected in the problem, instead of just points on the graph.


What is the difference between a linear graph and a non-linear graph?

linear: LINE example--- line non-linear: not a LINE example--- parabola The other possibility is a graph with a non-linear scale. First a linear scale will have each unit represent the same amount, regardless of where you are on the scale. A semilog scale, has a linear scale in the horizontal direction, and a logarithmic scale in the vertical direction. Exponential functions (such as ex & 10x), will graph as a straight line on this type of graph scale). A logarithmic or log-log scale, has logarithmic scales on both horizontal and vertical axis. Power functions (such as sqrt(x), x2 and x3), graph as a straight line on these scales. See Related Link


What data must you have to make a line graph?

You can draw a line graph if you have-- the slope of the line and one point on the lineOR-- two points on the line


What is the difference between a linear graph and a non linear graph?

Linear graphs make straight lines. Non-linear graphs make thins like parabolas, hyperbolas, and ellipses


Why is it don't you connect the dots when making a graph?

Connecting the dots in a graph can create the impression of continuous data points, which may not be accurate if the data is discrete or if there are gaps in the data. It's important to accurately represent the data without adding any assumptions that could mislead the interpretation. Connecting the dots can make it harder to see the individual data points and trends.


Can you make predictions from a non linear graph?

no you cannot


Why is it a good idea to make a graph of the data in the data table?

Viewing the data is an easy way to see some of their characteristics such as trends, seasonality, outliers, relationship between variables (linear, quadratic, power etc).


What increment would be appropriate to make a graph of the data?

what incrament would ba a apppropriate to make a graph of the data


Why are linear equations infinite?

When you graph a linear equation, you make a line. A line continues infinitely.


What are the disadvantages of a scatter graph?

A scatter graph may use a positive correlation or negative correlation, to shows points of the graph in either a dipping or climbing line, and is fairly easy to read the data. A zero correlation is when the points are scattered across the graph and this can make seeing the data difficult. It's a bit like "dot to dot" in a children's puzzle book, but without the numbers at the side of the dots!


Do you need a data file to make a bar graph?

No but you do need a dataset or data range with which to to populate the graph.