Sas boxplots with multiple variables
[DOC File]SAS Regression Using Dummy Variables
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sas example -- dummy variables in regression. for both ordinal and nominal. variables. filename: regress2.sas *****/ /*use permanent sas data set created earlier*/
[DOC File]SAS Simple Linear Regression
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How to create side-by-side boxplots. How to create dummy variables. How to use dummy variables in a linear regression model. How to fit a oneway ANOVA. Procs used: Proc Means. Proc Boxplot. Proc Reg. Proc Univariate. Proc GLM. Filename: dummy_variables.sas *****/ The commands below allow us to utilize the user-defined formats along with our ...
[DOC File]Statistics 231B SAS Practice Lab #1
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/*PROC BOXPLOT can be used to produce side by side boxplots of a variable broken down by one or more categories. /*For example, we might wish to compare the distribution of income by ethnic groups.*/ /*for details, refer to following SAS/STAT9.1 user guide Chapter 18.*/
[DOC File]Checking for Multicollinearity Using SAS
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(commands= finan_collin.sas) The examples in this handout revisit the multiple regression analysis performed using the CARS data set on Day 2. We begin working with the original CARS data set in the SASDATA2 library, exclude the strange observation with YEAR = 0, and assess the pairwise correlations of several additional predictor variables:
[DOC File]SAS Simple Linear Regression - University of Michigan
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SAS Regression Using Dummy Variables and Oneway ANOVA. Introduction. This handout illustrates how to create dummy variables that can be used in a linear regression model, and also illustrates a oneway ANOVA model. We first submit a libname statement, pointing to the folder where the SAS dataset, cars.sas7bdat is stored.
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