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Data Analysis

Type : CREATION_INTERNE

The data for the 'example' dataset is created directly within the SAS script using a DATALINES block.

1 Code Block

DATA STEP Data

Explanation :
This DATA STEP block creates a dataset named 'example'. Variables 'a', 'b', and 'y' are defined, and their values are populated directly from the DATALINES block. The reference '@code_sas_json/hsdua2304@gmail.com_SAS_Assignment_1.json' in the INPUT line is a syntactically incorrect inclusion for reading data and will be ignored by SAS; the data for 'a', 'b', 'y' comes exclusively from the DATALINES.

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1	DATA example;
2	INPUT a b y @code_sas_json/hsdua2304@gmail.com_SAS_Assignment_1.json;
3	DATALINES;
4	1 1 23.5 1 1 23.7 1 2 28.7 2 1 8.9 2 2 5.6
5	2 2 8.9 3 1 10.3 3 1 12.5 3 2 13.6 3 2 14.6
6	;

2 Code Block

PROC GLM

Explanation :
This GLM (General Linear Models) procedure is executed on the 'example' dataset. Variables 'a' and 'b' are declared as classification variables. The model specifies 'y' as the dependent variable, and 'a', 'b', as well as their interaction 'a*b' as predictors. The options 'e', 'e1', 'e2', 'e3', 'e4' request parameter estimates and Type I, II, III, and IV sums of squares, respectively, for the analysis of model effects.

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1	PROC GLM;
2	class a b;
3	model y=a b a*b / e e1 e2 e3 e4;
4	RUN;

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Copyright Info : SAS SAMPLE LIBRARY, NAME: GLMEST, TITLE: Details Example 1 for PROC GLM, PRODUCT: STAT, SYSTEM: ALL, KEYS: Type 1 SS, Type 2 SS, Type 3 SS, Type 4 SS, PROCS: GLM, REF: PROC GLM, DETAILS EXAMPLE 1.

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