Basic Analysis and Graphing - SAS

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118 Performing Bivariate Analysis Chapter 4 Additional Examples of the Bivariate Platform Figure 4.18 Example of a Mesh Plot Diagnostics Plots The Plot Residuals option creates residual plots and other plots to diagnose the model fit. The following plots are available: Residual by Predicted Plot is also created. is a plot of the residuals vs. the predicted values. A histogram of the residuals Actual by Predicted Plot is a plot of the actual values vs. the predicted values. Residual by Row Plot is a plot of the residual values vs. the row number. Residual Normal Quantile Plot is a Normal quantile plot of the residuals. Additional Examples of the Bivariate Platform This section contains additional examples using the fitting commands in the Bivariate platform. Example of the Fit Special Command To transform Y as log and X as square root, proceed as follows: 1. Open the SAT.jmp sample data table. 2. Select Analyze > Fit Y by X. 3. Select 2004 Verbal and click Y, Response. 4. Select % Taking (2004) and click X, Factor. 5. Click OK.
Chapter 4 Performing Bivariate Analysis 119 Additional Examples of the Bivariate Platform Figure 4.19 Example of SAT Scores by Percent Taking 6. From the red triangle menu for Bivariate Fit, select Fit Special. The Specify Transformation or Constraint window appears. For a description of this window, see Table 4.8. Figure 4.20 The Specify Transformation or Constraint Window 7. Within Y Transformation, select Natural Logarithm: log(y). 8. Within X Transformation, select Square Root: sqrt(x). 9. Click OK.
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Version 10 Basic Analysis and Graph
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USE, DATA OR PROFITS, WHETHER IN AN
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6 Options for Categorical Variables
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8 Nonparametric Bivariate Density R
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10 Example of the Power Option . .
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12 Statistical Details for the Logi
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14 Use Categorical Variables . . .
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16 Control Animation for Dynamic Bu
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18 Launch the Scatterplot Matrix Pl
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Contents Book Conventions. . . . .
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22 Learn about JMP Chapter 1 Book C
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24 Learn about JMP Chapter 1 Book C
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26 Learn about JMP Chapter 1 Additi
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28 Learn about JMP Chapter 1 Additi
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Contents Overview of the Distributi
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32 Performing Univariate Analysis C
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168 Performing Oneway Analysis Chap
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Contents Example of Contingency Ana
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186 Performing Contingency Analysis
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Contents Overview of Logistic Regre
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218 Performing Simple Logistic Regr
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Contents Overview of the Matched Pa
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238 Comparing Paired Data Chapter 8
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Contents Example of Bootstrapping .
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250 Bootstrapping Chapter 9 Example
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252 Bootstrapping Chapter 9 Unstack
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254 Bootstrapping Chapter 9 Analysi
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Contents Overview of Graph Builder
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258 Interactive Data Visualization
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Contents Example of the Chart Platf
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314 Creating Summary Charts Chapter
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Contents Example of an Overlay Plot
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340 Creating Overlay Plots Chapter
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Contents Example of a 3D Scatterplo
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354 Creating Three-Dimensional Scat
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Contents Example of a Contour Plot
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374 Creating Contour Plots Chapter
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Contents Example of a Dynamic Bubbl
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384 Creating Bubble Plots Chapter 1
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Contents Overview of Mapping . . .
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406 Creating Maps Chapter 16 Exampl
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418 Creating Maps Chapter 16 Backgr
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Contents Example of a Parallel Plot
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450 Creating Parallel Plots Chapter
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Contents Example of a Cell Plot. .
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460 Creating Cell Plots Chapter 18
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Contents Example of Tree Maps . . .
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468 Creating Tree Maps Chapter 19 E
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470 Creating Tree Maps Chapter 19 E
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472 Creating Tree Maps Chapter 19 T
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474 Creating Tree Maps Chapter 19 A
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Contents Example of a Scatterplot M
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486 Creating Scatterplot Matrices C
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Contents Example of a Ternary Plot
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496 Creating Ternary Plots Chapter
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504 References Becker, R.A. and Cle
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506 References Dunnett, C.W. (1955)
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508 References Hosmer, D.W. and Lem
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510 References McLachlan, G.J. and
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512 References Robertson, T., Wrigh
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514 References Wadsworth, H. M., St
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516 Index examples 459, 463-464 lau
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518 Index Horizontal option 268, 32
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520 Index Proportion of Densities o
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522 Index examples 467-468, 473-482
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Basic Analysis and Graphing - SAS

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