Basic Analysis and Graphing - SAS

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98 Performing Bivariate Analysis Chapter 4 Fit Mean Fit Mean Using the Fit Mean command, you can add a horizontal line to the scatterplot that represents the mean of the Y response variable. You can start by fitting the mean and then use the mean line as a reference for other fits (such as straight lines, confidence curves, polynomial curves, and so on). Figure 4.7 Example of Fit Mean Fit Mean line Fit Mean menu Fit Mean report Fit Mean Report The Fit Mean report shows summary statistics about the fit of the mean. Table 4.3 Description of the Fit Mean Report Mean Std Dev [RMSE] Std Error SSE Mean of the response variable. The predicted response when there are no specified effects in the model. Standard deviation of the response variable. Square root of the mean square error, also called the root mean square error (or RMSE). Standard deviation of the response mean. Calculated by dividing the RMSE by the square root of the number of values. Error sum of squares for the simple mean model. Appears as the sum of squares for Error in the analysis of variance tables for each model fit. Related Information • “Fitting Menus” on page 115
Chapter 4 Performing Bivariate Analysis 99 Fit Line and Fit Polynomial Fit Line and Fit Polynomial Using the Fit Line command, you can add straight line fits to your scatterplot using least squares regression. Using the Fit Polynomial command, you can fit polynomial curves of a certain degree using least squares regression. Figure 4.8 Example of Fit Line and Fit Polynomial Figure 4.8 shows an example that compares a linear fit to the mean line and to a degree 2 polynomial fit. Note the following information: • The Fit Line output is equivalent to a polynomial fit of degree 1. • The Fit Mean output is equivalent to a polynomial fit of degree 0. Linear Fit and Polynomial Fit Reports The Linear Fit and Polynomial Fit reports begin with the equation of fit.
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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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148 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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