Stats: Review Chapter 5 - Bivariate Data

Front

What is bivariate data?

Back

Bivariate data involves two variables and is used to determine the relationship between them.

Front

What does a positive correlation indicate?

Back

A positive correlation indicates that as one variable increases, the other variable also tends to increase.

Front

What does a negative correlation indicate?

Back

A negative correlation indicates that as one variable increases, the other variable tends to decrease.

Front

What is the correlation coefficient?

Back

The correlation coefficient is a statistical measure that describes the strength and direction of a relationship between two variables, ranging from -1 to 1.

Front

What does a correlation coefficient of 0.82 indicate?

Back

A correlation coefficient of 0.82 indicates a strong positive correlation between the two variables.

Front

What is a lurking variable?

Back

A lurking variable is an unobserved variable that influences both the independent and dependent variables, potentially confounding the results.

Front

How can you identify a strong positive correlation in a scatter plot?

Back

A strong positive correlation in a scatter plot is identified by points that closely follow an upward trend.

Front

What is the difference between correlation and causation?

Back

Correlation indicates a relationship between two variables, while causation indicates that one variable directly affects the other.

Front

What is an example of a lurking variable in health studies?

Back

An example of a lurking variable could be sun exposure when studying the relationship between outdoor activities and skin cancer.

Front

What does a downward trend in a scatter plot indicate?

Back

A downward trend in a scatter plot indicates a negative correlation between the two variables.