Difference between revisions of "Scatter plots"

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A '''''scatter plot''''' graphs the samples of two probabilistic variables against each other, and provides insight into their probabilistic relationship.
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To generate a scatter plot for two variables, <code>x</code> and <code>y</code>:
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# Open a [[Result window]] for <code>y</code>.
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# Click the '''XY''' button located in the top-right corner of the window to open the [[Object Finder dialog]].
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# In the '''XY Comparison sources''' dialog, check '''Use Another variable'''.
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# Press the Add... button, and in the [[Object Finder dialog]], select the <code>x</code> variable. Press '''OK''' twice.
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#:
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#: [[File:Chapter16_11.png]]
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#:
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#In the [[Uncertainty views|Uncertainty View]] popup menu (at the top-left of the [[Result window]]), select the ''Sample'' view.
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If the variables are independent, the scatter plot points fall randomly on the graph. If the variables are totally dependent, the scatter plot points fall along a single line. The strength of the relationship is indicated by the degree to which the points are close to a line. If the line is straight, the relationship is linear; if the line is curved, the relationship is nonlinear.
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You can superimpose several scatter plots of <code>y</code> in an array of uncertain quantities depending on <code>x</code>. The different quantities are represented by differently colored dots or symbols.
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'''Example:'''
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:<code>x: Uniform(1, 2)</code>
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:<code>y: Normal(10, 3)</code>
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The resulting scatter plot of two independent variables is shown below.
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:[[File:Chapter16_12.png]]
  
 
==See Also==
 
==See Also==
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* [[Making a Multi-D Scatter Plot]]
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* [[Bubble plots]]
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* [[XY Comparison]]
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* [[Graph settings]]
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* [[Graph setup dialog]]
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<footer>X-Y plots / {{PAGENAME}} / Regression analysis</footer>
 
<footer>X-Y plots / {{PAGENAME}} / Regression analysis</footer>

Latest revision as of 23:07, 11 August 2016

Analytica User GuideStatistics, Sensitivity, and Uncertainty AnalysisScatter plots


A scatter plot graphs the samples of two probabilistic variables against each other, and provides insight into their probabilistic relationship.

To generate a scatter plot for two variables, x and y:

  1. Open a Result window for y.
  2. Click the XY button located in the top-right corner of the window to open the Object Finder dialog.
  3. In the XY Comparison sources dialog, check Use Another variable.
  4. Press the Add... button, and in the Object Finder dialog, select the x variable. Press OK twice.
    Chapter16 11.png
  5. In the Uncertainty View popup menu (at the top-left of the Result window), select the Sample view.

If the variables are independent, the scatter plot points fall randomly on the graph. If the variables are totally dependent, the scatter plot points fall along a single line. The strength of the relationship is indicated by the degree to which the points are close to a line. If the line is straight, the relationship is linear; if the line is curved, the relationship is nonlinear.

You can superimpose several scatter plots of y in an array of uncertain quantities depending on x. The different quantities are represented by differently colored dots or symbols.

Example:

x: Uniform(1, 2)
y: Normal(10, 3)

The resulting scatter plot of two independent variables is shown below.

Chapter16 12.png

See Also


X-Y plotsScatter plotsRegression analysis
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