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- Introduction
- Analysis of Variance (ANOVA)
- Requirements
- Data Structure
- Response numeric
- Class var's numeric or alpha
- Statements
- CLASS Statement
- MODEL Statement
- Single terms
- Crossed terms (*)
- Handling of Missing Values
- Additional Statements and Options
- MEANS Statement
- Multiple Comparison Options
- LSMEANS Statement
- PDIFF and STDERR Options
- CONTRAST and ESTIMATE Statements
- OUTPUT Statement
- residual analysis
- Common Experimental Designs
- CRD and RCB
- Example 1 - CRD
- ANOVA table layout
- SS types
- Example 2 - RCB
- Split Plot and Split Block (Multiple Error Terms)
- Example 3 - Split Plot
- Example 4 - Split Block
- more than one TEST Statement
- Regression
- Requirements
- Data Structure
- Response Numeric
- Independents Numeric
- Statements
- No CLASS Statement
- MODEL Statement
- Single terms
- Crossed terms (*)
- Handling of Missing Values
- Additional Statements and Options
- Output Statement
- Regression Diagnostics
- Predicted Values
- WEIGHT Statement
- Variance Stabilization
- MODEL Statement Options
- Predicted values (P) and CI's (CLI, CLM)
- INT and NOINT
- Regression Examples
- Simple Linear Regression (SLR)
- Example 5
- Multiple Linear Regression
- Example 6
- Analysis of Covariance / Dummy Var Regression
- Requirements
- Data Structure
- Response Numeric
- Covariate Numeric
- Class Var's Numeric or Alpha
- Statements
- CLASS Statement
- MODEL Statement
- Single terms
- Crossed terms (*)
- Handling of Missing Values
- Additional Statements and Options
- LSMEANS Statement
- Adjusted Means in ANCOVA
- CONTRAST Statement
- Comparison of means in ANCOVA
- Comparison of slopes in D. V. R.
- MODEL Statement Options
- SOLUTIONS for parameter est's in D. V. R.
- INT and NOINT in D. V. R.
- Analysis of Covariance (ANCOVA)
- Example 7
- ANOVA Table
- Dummy Var. Regression
- Example 8 - with INT
- SOLUTIONS Option
- Estimated Parameters for differential effect
- Example 9 - with NOINT
- SOLUTIONS Option
- CONTRAST & ESTIMATE Statements
- Comparing estimated parameters and predicted values
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