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Understanding the relationship between a target and explanatory variables is a key step toward building predicative models. Did you know that you can explain a target variable in SAS Viya with just a couple of clicks? In this SAS How To tutorial, Principal Technical Training Consultant Andy Ravenna shows you how create an automated explanation in SAS Visual Analytics. You learn how to identify relationships between specific variables and the target, identify high probability groups, and build a predictive model based on your discoveries. Be sure to check out Andy’s companion blog post in the links below! Chapters 00:00 – Introduction 00:37 – Exploring the data 03:37 – Creating and exploring an automated explanation 07:26 – Interpreting automated explanation results 10:00 – Analyzing relationships between specific variables and the target 12:17 – Identifying high probability groups 14:39 – Building a predictive model 15:29 – Exploring the Logistic Regression 18:12 – Summary Blog Posts by Andy ◉ Data-Driven Analytics in SAS Viya – The AI and Analytics Lifecycle – https://communities.sas.com/t5/SAS-Co... ◉ Data-Driven Analytics in SAS Viya – Clustering – https://communities.sas.com/t5/SAS-Co... ◉ Data-Driven Analytics in SAS Viya – Logistic Regression Model Building – https://communities.sas.com/t5/SAS-Co... Other Videos by Andy ◉ Simple Linear Regression in SAS – • SAS Tutorial | Simple Linear Regressi... ◉ What is ANOVA? – • SAS Tutorial | What is ANOVA? ◉ How to Concatenate Values in SAS – • SAS Tutorial | How to Concatenate Val... ◉ How to Sort Data in SAS – • SAS Tutorial | How to Sort Data in SAS SUBSCRIBE TO THE SAS USERS YOUTUBE CHANNEL #SASUsers #LearnSAS https://www.youtube.com/SASUsers?sub_... ABOUT SAS SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change. CONNECT WITH SAS SAS ► https://www.sas.com SAS Customer Support ► https://support.sas.com SAS Communities ► https://communities.sas.com SAS Analytics Explorers ► https://explorers.sas.com Facebook ► / sassoftware X ► / sassoftware LinkedIn ► / sas Blogs ► https://blogs.sas.com RSS ► https://www.sas.com/rss