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SAS/INSIGHT User's Guide |

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**M**

- magnifying glass tool

- main effect

- major ticks

- manager

- Mardia, K.V.,

- margin between
- graphs

- marginal histograms

- marker

- Marker Sizes
- in bar chart

- marker state

- markers
- assigning by variable
- size of

- MARKERSIZE option

- matrix
- of rotating plots

- maximum
- distribution analyses

- maximum quasi-likelihood estimation
- generalized linear models

- maximum redundancy
- multivariate analyses

- maximum-likelihood estimate
- scale parameter estimates

- maximum-likelihood estimate for scale parameter
- generalized linear models

- maximum-likelihood estimation
- fit analyses
- generalized linear models "The Likelihood Function and Maximum-Likelihood Estimation"
- generalized linear models "The Likelihood Function and Maximum-Likelihood Estimation"

- McCabe, G.P.

- McCullagh, P.

- McLaughlin, D.H

- McLaughlin, D.H.

- Mean
- box plot
- confidence curves
- confidence ellipse
- in analysis of variance

- mean confidence curves
- fit analyses

- mean confidence ellipse
- multivariate analyses

- mean confidence ellipses

- mean deviance
- generalized linear models
- scale parameter estimates

- mean deviance for scale parameter
- generalized linear models

- mean diamonds

- mean integrated square error
- kernel estimation

- mean line fit

- mean Pearson chi-squared
- generalized linear models
- scale parameter estimates

- mean Pearson chi-squared for scale parameter
- generalized linear models

- mean square error
- fit analyses

- means

- measurement level
- assigning
- variables

- median
- distribution analyses

- memory
- storing data set in

- memory, optimizing

- menu
- pulldown

- menu bar

- method
- bar chart
- box plots
- contour plots
- distribution analyses "Method"
- distribution analyses "Method"
- fit analyses "Method"
- fit analyses "Method"
- line plot
- multivariate analyses "Method"
- multivariate analyses "Method"
- options "Setting Method and Output Options"
- options "Setting Method and Output Options"
- rotating plots
- scatter plots

- Method button

- Method dialog
- Fit window "Displaying the Logistic Regression Analysis"
- Fit window "Displaying the Poisson Regression Analysis"

- method options

- minimum
- distribution analyses

- MINING data set
- drilling

- MININGX data set

- minor ticks

- MISE

- missing values
- in bar charts
- in box plots
- in contour plots
- in distribution analyses "Method"
- in distribution analyses "Method"
- in fit analyses
- in line plots
- in multivariate analyses
- in rotating plots
- in scatter plots

- MLE

- MLE, Theta=0

- mode
- distribution analyses
- parametric density "Parametric Density"
- parametric density "Parametric Density"

- model
- modifying
- removing effects "Modifying the Model"
- removing effects "Modifying the Model"
- specifying effects

- model effects

- model equation
- fit analyses "Model Equation"
- fit analyses "Model Information"
- fit analyses "Model Information"
- logistic regression "Model Equation"
- logistic regression "Model Equation"
- multiple regression "Model Information"
- multiple regression "Model Information"
- multiple regression "Principal Component Plots"
- multiple regression "Principal Component Plots"

- model information
- fit analyses "Model Information"
- fit analyses "Model Information"
- fit analyses "Model Information"
- in Fit window "Displaying the Logistic Regression Analysis"
- in Fit window "Model Information"

- modifying the model
- logistic regression
- multiple regression "Modifying the Model"
- multiple regression "Modifying the Model"
- poisson regression "Modifying the Model"
- poisson regression "Modifying the Model"

- moments
- descriptive statistics
- distribution analyses "Moments"
- distribution analyses "Moments"

- monochrome images

- Moore, D.S.

- Morrison, D.F.

- mosaic plot
- distribution analyses
- graphs

- mosaic plots

- Motif window manager
- setting X resources

- mouse

- mouse button

- Move to First

- Move to Last

- moving
- columns
- graphs
- tables

- moving observations

- Muenchen, R.A.

- MULT statement

- multicollinearity
- fit analyses

- multiple
- selection

- multiple color blends

- multiple comparison circles

- Multiple Comparison of Means

- Multiple Comparison Options

- Multiple Comparison Test

- multiple comparison tests
- Dunnett's test with control
- Hsu's test for best
- Hsu's test for worst
- pairwise Bonferroni
- pairwise t-test
- Tukey-Kramer all pairs

- multiple regression
- adding tables and graphs "Adding Tables and Graphs"
- adding tables and graphs "Adding Tables and Graphs"
- analysis of variance "Analysis of Variance"
- analysis of variance "Analysis of Variance"
- collinearity diagnostics "Collinearity Diagnostics Table"
- collinearity diagnostics "Collinearity Diagnostics Table"
- model equation "Model Information"
- model equation "Model Information"
- model equation "Principal Component Plots"
- model equation "Principal Component Plots"
- modifying the model "Modifying the Model"
- modifying the model "Modifying the Model"
- parameter estimates
- partial leverage plots "Partial Leverage Plots"
- partial leverage plots "Partial Leverage Plots"
- residual-by-hat diagonal plot "Residual-by-Hat Diagonal Plot"
- residual-by-hat diagonal plot "Residual-by-Hat Diagonal Plot"
- residual-by-predicted plot "Residuals-by-Predicted Plot"
- residual-by-predicted plot "Residuals-by-Predicted Plot"
- saving the residuals
- summary of fit "Summary of Fit"
- summary of fit "Summary of Fit"
- type III tests "Type III Tests"
- type III tests "Type III Tests"

- Multivariate ( Y's )

- Multivariate (Y's)

- multivariate analyses
- canonical correlation "Canonical Correlation Analysis"
- canonical correlation "Canonical Correlation Analysis"
- canonical discriminant "Canonical Discriminant Analysis"
- canonical discriminant "Canonical Discriminant Analysis"
- canonical varaibles "Canonical Variables"
- canonical varaibles "Canonical Variables"
- confidence ellipses "Confidence Ellipses"
- confidence ellipses "Confidence Ellipses"
- corrected sums of squares and crossproducts
- correlation matrix "Correlation Matrix"
- correlation matrix "Correlation Matrix"
- Freq variable
- graphs "Graphs"
- graphs "Graphs"
- Group variables
- inverse correlation matrix "Inverse Correlation Matrix"
- inverse correlation matrix "Inverse Correlation Matrix"
- Label variable
- maximum redundancy "Maximum Redundancy Analysis"
- maximum redundancy "Maximum Redundancy Analysis"
- mean confidence ellipse
- method "Method"
- method "Method"
- output "Output"
- output "Output"
- p-values of the correlations "P-Values of the Correlations"
- p-values of the correlations "P-Values of the Correlations"
- prediction confidence ellipse
- principal component plots "Principal Component Plots"
- principal component plots "Principal Component Plots"
- principal components "Output Variables"
- principal components "Output Variables"
- principal components "Principal Component Analysis"
- principal components "Principal Component Analysis"
- principal components "Principal Components"
- principal components "Principal Components"
- principal components rotation "Principal Component Rotation"
- principal components rotation "Principal Component Rotation"
- scatter plot matrix "Scatter Plot Matrix"
- scatter plot matrix "Scatter Plot Matrix"
- sums of squares and crossproducts
- tables "Tables"
- tables "Tables"
- univariate statistics "Univariate Statistics"
- univariate statistics "Univariate Statistics"
- variables "Variables"
- variables "Variables"
- variance divisor
- Weight variable
- weighted analyses "Weighted Analyses"
- weighted analyses "Weighted Analyses"

- Multivariate analysis

- Myers, R.H.

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