Transcription of Marginal Model Plots - SAS Support
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Marginal Model PlotsWarren F. Kuhfeld, SAS Institute Inc., Cary, NCMarginal Model Plots (proposed by Cook and Weisberg 1997 and discussed by Fox and Weisberg 2011)display the Marginal relationship between the response and each predictor. Marginal Model Plots display thedependent variable on each vertical axis and each independent variable on a horizontal axis. There is onemarginal Model plot for each independent variable and one additional plot that displays the predicted valueson the horizontal axis. Each plot contains a scatter plot of the two variables, a smooth fit function for thevariables in the plot (labeled Data ), and a function that displays the predicted values as a function of thehorizontal axis variable (labeled Model ). (See Figure 1.) When the two functions are similar in each of thegraphs, there is evidence that the Model fits well.
marginal model plot for each independent variable and one additional plot that displays the predicted values on the horizontal axis. Each plot contains a scatter plot of the two variables, a smooth fit function for the variables in the plot (labeled “Data”), and a function that displays the predicted values as a function of the ...
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Lesson 6, File I/O, The Plot, PLOTTING AND GRAPHICS OPTIONS IN, Plot, Math 141 - Quantile-Quantile Plots, Split plots, Using SAS’s PROC GPLOT to plot data, Basic Plotting with Python and Matplotlib, Basic Graphics in R, Describing Relationships in Scatter Plots, Gran plot, Plotting functions of more than one variable with Mathematica