Examples of Bivariate Analysis
Example 1: A teacher collect data on total hours studied by students and total marks scored by them is shown in the table below:
|
Total Hours Studied in a Week |
Marks scored out of 700 |
|---|---|
|
14 |
450 |
|
12 |
413 |
|
20 |
490 |
|
22 |
566 |
|
24 |
576 |
|
29 |
640 |
|
13 |
340 |
Solution:
The teacher might decide to determine the correlation between the two variables, which she or he may find to be 0.926.
This shows that the two variables have a very strong positive association.
In other words, the marks scored by a student in a test is directly correlated to number of hours stuied by him/her.
Bivariate Analysis
Bivariate analysis examines the relationship between two variables. It is often denoted as X and Y. It helps uncover correlations and associations between different factors in data analysis.
Bivariate Analysis
In this article, we will understand the meaning of bivariate analysis and its definition, as well as the types of bivariate analysis and applications of bivariate analysis.