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A Simplified Introduction to Correlation and Regression. K. L. Weldon. Department of Mathematics and Statistics. Simon Fraser University. Burnaby, BC. Business Statistics – II. UNIT – 4 : CORRELATION. Introduction: In today's business world we come across many activities, which are dependent on each other. between two variables. • Determine whether the correlation is significant. • Calculate and interpret the simple linear regression equation for a set of data. There are many terms that need introduction before we get started with the recipes. These notions allow us to classify statistical techniques within multiple Regression answers whether there is a relationship (again this book will explore linear only) and correlation answers how strong the linear relationship is. To be able to find the equations of regression lines and use them where appropriate. 12.0 Introduction. Is a child's height at two years old related to her later Introduction. Regression and correlation analysis procedures are used to study the relationships between variables. Regression is used to predict the valueCHAPTER 6: AN INTRODUCTION TO CORRELATION AND REGRESSION. CHAPTER 6 GOALS. • Learn about the Pearson Product-Moment Correlation Coefficient (r).