## Correlation and Regression

## So far, we have dealt with data that involved a single variable

x. In this section, we shall investigate paired variablesxandy. Here's a list of paired variables:

## x

## 24

## 15

## 17

## 32

## 19

## 18

## 25

## 34

## y

## 22

## 11

## 14

## 30

## 17

## 12

## 23

## 31

## When confronted with paired or Bivariate data, we are often confronted with two questions: is there a relationship between the variable

xand its counterparty, and if so what is the exact nature of the relationship?

## Correlation

involves discovering whether a linear relationship actually exists between 2 sets of variables by using a Scatter Diagram, and the linear correlation coefficent.

## Regression

explores the expression of this relationship with the use of a Regression Line.

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