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Scatter Plots

A scatter plot shows the sample points on the coordinate plane of two entities (variables, responses).

 

Restart the Viewer again and

  1. Select Scatter Plots for this time.
newplot3.png
  1. Change the z-coordinate to No entity, since we want a two-dimensional plot.
  2. Choose YIELD as the x-coordinate.
  3. Choose prc_thick_red_max as the y-coordinate.

 

 

scatter_plot_yield1.png

 YIELD vs. prc_thick_red_max

 

 Change the entity to be shown on the x-coordinate.

  1. Change the x-coordinate to FS1.  

scatter_plot_fs1.png

FS1 vs. prc_thick_red_max

  1. Change the x-coordinate to FOFF.   

scatter_plot_poff1.png

FOFF vs. prc_thick_red_max

  1. Change the x-coordinate to FS2.   

scatter_plot_fs2.png

FS2 vs. prc_thick_red_max

  1. Change the x-coordinate to FS3. 

scatter_plot_fs3.png

FS3 vs. prc_thick_red_max

 

Conclusion: The first plot (YIELD vs. prc_thick_red_max) shows the most linear correlativity among the plots, which means again that YIELD is the most important variable for the maximum thickness reduction.

  • We can verify this fact in different ways (also see Correlation Bars and Correlation Matrix).