biVARIATE

What is bivariate data?

• Data involving a single variable

• Data with no relationship between variables

• Data involving two numerical variables

• Data that cannot be analyzed

In a study about how study hours affect exam scores, which is the independent variable?

• Exam scores

• Number of students

• Study hours

• School name

What is the dependent variable in a study examining the effect of sleep on concentration?

• Number of hours of sleep

• Ability to concentrate

• Number of students in class

• Different sleep positions

Which of the following is an example of bivariate data analysis?

• Listing students' favorite colors

• Analyzing the relationship between advertising expenses and product sales

• Counting the number of books in a library

• Measuring the temperature of different cities

What happens to the dependent variable when the independent variable changes?

• It remains constant

• It may change depending on the relationship

• It disappears

• It turns into the independent variable

In a study about plant growth, which is the independent variable?

• Height of the plant

• Amount of water given

• Color of the leaves

• The type of plant species

Why is it important to understand independent and dependent variables?

• To memorize data for exams

• To identify cause-and-effect relationships

• To make random guesses about outcomes

• To ignore data trends

A researcher is studying how different diets affect weight loss. What is the dependent variable?

• Types of diet

• Number of meals per day

• Weight loss

• The restaurant serving the food

Which of the following is NOT an example of bivariate data?

• Examining the relationship between temperature and ice cream sales

• Comparing age and blood pressure readings

• Measuring student heights

• Studying how practice time affects basketball shooting accuracy

Which of the following best describes the relationship between independent and dependent variables?

• The independent variable is affected by the dependent variable.

• The dependent variable changes in response to the independent variable.

• Both variables always remain constant.

• There is no connection between them.