Association between two categorical variables can be determined by simple linear regression.
No, simple linear regression is used to determine the association between two continuous variables. To determine the association between two categorical variables, you would need to use a chi-square test.
Simple linear regression is a statistical method used to determine the association between two variables, but it is typically used for the relationship between a dependent variable and an independent variable.
When both variables are categorical, it is not appropriate to use simple linear regression. Simple linear regression assumes that the dependent variable is continuous and follows a linear relationship with the independent variable. Categorical variables do not have a natural ordering or distance between categories, making it difficult to apply linear regression.
To determine the association between two categorical variables, you can use other statistical methods such as chi-square test for independence or contingency table analysis. These methods can help you assess whether there is a relationship or association between the two variables.
In summary, simple linear regression is not suitable for determining the association between two categorical variables. Other statistical tests specific to categorical data should be used for this purpose.