Association of Attributes refers to the relationship between two or more attributes in a data set. It is a statistical technique used to analyze the relationship between variables or attributes. In other words, it is the process of identifying the interdependence between different attributes.

Types of Association of Attributes

There are two types of association of attributes:

1. Positive Association: When two attributes increase or decrease together, it is known as positive association. For example, if the temperature increases, the sales of ice cream also increase. In this case, temperature and sales of ice cream have a positive association.

2. Negative Association: When two attributes move in opposite directions, it is known as negative association. For example, if the price of a product increases, the demand for that product decreases. In this case, the price and demand of the product have a negative association.

Techniques used for analyzing Association of Attributes

There are various techniques used for analyzing the association of attributes. Some of them are:

1. Scatter Plot: A scatter plot is used to display the relationship between two variables or attributes. It is a graphical representation of data points, where each point represents the value of two variables. A scatter plot can help in identifying the association between variables.

2. Correlation Analysis: Correlation analysis is used to measure the strength and direction of the relationship between two variables. It measures the degree of linear association between two variables. The correlation coefficient ranges from -1 to +1. If the coefficient is close to +1, it indicates a strong positive association, and if it is close to -1, it indicates a strong negative association.

3. Chi-Square Test: The chi-square test is used to test the independence of two categorical variables. It is used to determine the association between two variables.

Benefits of analyzing Association of Attributes

1. Helps in identifying the relationship between different attributes.

2. Helps in making predictions and forecasts.

3. Helps in decision-making.

4. Helps in identifying the factors that affect a particular attribute.

Conclusion

Association of Attributes is an important statistical technique used to analyze the relationship between two or more attributes. It helps in identifying the interdependence between different attributes and helps in decision-making. There are various techniques used for analyzing the association of attributes, such as scatter plot, correlation analysis, and chi-square test.