The video introduces bivariate data, explaining it as data involving two variables. It provides examples using height and weight, and discusses the correlation between them. The video categorizes data into categorical and numerical types, and explains how to compare them using different methods. It also covers explanatory and response variables, using examples to illustrate their roles in data analysis.

What does bivariate data involve?

• Data with one variable

• Data with two variables

• Data with three variables

• Data with no variables

Which of the following is an example of categorical data?

• Height

• Weight

• Favorite color

• Temperature

What type of graph is typically used to compare two numerical variables?

• Bar chart

• Pie chart

• Scatter plot

• Line graph

How can you compare a numerical variable with a categorical variable?

• Using a scatter plot

• Using a pie chart

• Using a bar chart

• Using a line graph

What is a two-way table used for?

• Comparing two numerical variables

• Comparing one numerical and one categorical variable

• Comparing two categorical variables

• Comparing three variables

In the context of bivariate data, what is an explanatory variable?

• A variable that is not related to another

• A variable that is explained by another

• A variable that is always numerical

• A variable that explains another

Which variable is the explanatory variable in the ice cream and temperature example?

• Both are explanatory

• Temperature

• Neither is explanatory

• Ice cream sales

In the homework and gender example, which is the response variable?

• Gender

• Both are response variables

• Homework done

• Neither is a response variable

What determines the explanatory and response variables in a study?

• The type of data

• The statistical question asked

• The number of variables

• The method of data collection