Correlation Analysis in SAS | Proc Corr In SAS

In this session of @analyticsschool , we will discuss how one can quantify the relationship between two numerical variables using correlation analysis. We will use Proc Corr procedure in SAS to calculate the Pearson Correlation Coefficient, Spearman Rank Correlation Coefficient, Kendall Tau Correlation Coefficient, Partial Correlation Coefficient as well as Hoeffding’s D. We will also learn how to create scatter plot and matrix plot using Proc Corr procedure.

Correlation coefficient ranges between -1 to 1. Moreover, the association between variables can positive, negative or no relationship at all.

Chapters:

00:00 - Introduction
00:15 - What Is Correlation Statistics?
00:49 - Pearson Correlation Coefficient
01:38 - Hypothesis For Pearson Correlation Coefficient
01:54 - Strength Of Association
03:20 - Assumptions For Pearson Correlation Coefficient
04:14 - Linear Vs Monotonic Relationship
04:59 - Spearman, Kendall Tau, Partial Correlation
07:20 - Proc Corr Syntax
08:51 - SAS Code
32:07 - Correlation Doesn't Imply Causation
32:25 - Spurious Correlations

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