Correlation and Regression
So far, we have dealt with data that involved a single variable x . In this section, we shall investigate paired variables x and y . 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 x and its counterpart y , and if so what is the exact nature of the relationship?
Correlation
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.
6:1