Bivariate Analysis

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Introduction

Bivariate analysis is concerned with the relationships between pairs of variables (X, Y) in a data set. The following data analysis situations can be visualized, depending on the measurement levels of variables and whether there is any distinction between dependent and independent variables.

Variables	Measurement scale	Distinction between dependent and independent variables?	Statistical technique	IDAMS module
X Y	Interval Interval	No distinction	Pearson’s correlation	PEARSON
X Y	Ordinal Ordinal	No distinction	Kendall’s Tau Spearman’s Rho Wilcoxon Signed Test Mann-Whittney Test	TABLES
X Y	Nominal Nominal	No distinction	Chi- square Lambda Test	TABLES
X Y	Interval Interval	Distinction	Simple linear regression	REGRESSN
X Y	Nominal   Interval	Distinction: Y is dependent	Regression with dummy variables One way analysis of variance	REGRESSN   ONEWAY