# ML Wiki

## Bivariate Analysis

Analyzes relationships between two variables

Recall that there are the following Types of Variables

So there can be the following combinations:

• Quantitative vs Quantitative
• Quantitative vs Categorical
• Categorical vs Categorical

### Independence

typically most interesting question is:

• "Are these variables independent"?
• if they are dependent and correlated, then one variable can be redundant
• and can be removed

## Quantitative vs Quantitative

If two variables are numeric:

## Quantitative vs Categorical

If one is numeric, and another is categorical:

## Categorical vs Categorical

To compare two categorical variables

• start from building a Contingency Table to show relative frequencies of values
• Marginal distribution - distribution of only one of the variables in a contingency table
• Conditional Distribution - distribution within a fixed value of a second variable
• so it's simple to see if there's any correlation between the two variables just using this matrix
• run some Tests of Independence: