Unit 4 Bivariate Data

Front

What is bivariate data?

Back

Bivariate data is data that involves two different variables. It is used to determine the relationship between the two variables.

Front

What is a scatter plot?

Back

A scatter plot is a graph that shows the relationship between two quantitative variables. Each point represents an observation.

Front

What does correlation mean in statistics?

Back

Correlation refers to a statistical measure that describes the extent to which two variables change together. It can be positive, negative, or zero.

Front

What is the difference between positive and negative correlation?

Back

Positive correlation means that as one variable increases, the other variable also increases. Negative correlation means that as one variable increases, the other variable decreases.

Front

What is a line of best fit?

Back

A line of best fit is a straight line that best represents the data on a scatter plot. It shows the trend of the data.

Front

How do you calculate the correlation coefficient?

Back

The correlation coefficient (r) is calculated using the formula: r = (nΣxy - ΣxΣy) / sqrt[(nΣx² - (Σx)²)(nΣy² - (Σy)²)], where n is the number of pairs.

Front

What is the purpose of using bivariate data?

Back

The purpose of using bivariate data is to analyze the relationship between two variables and make predictions based on that relationship.

Front

What is a dependent variable?

Back

A dependent variable is the variable that is being tested and measured in an experiment. It is affected by the independent variable.

Front

What is an independent variable?

Back

An independent variable is the variable that is changed or controlled in an experiment to test its effects on the dependent variable.

Front

What does it mean if two variables are independent?

Back

If two variables are independent, it means that the change in one variable does not affect the other variable.