Unit 3 Reveiw

Front

What is correlation?

Back

Correlation is a statistical measure that describes the extent to which two variables change together. A strong correlation indicates that as one variable increases, the other tends to increase (positive correlation) or decrease (negative correlation).

Front

What does a strong negative correlation indicate?

Back

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

Front

What is the correlation coefficient?

Back

The correlation coefficient is a numerical value that measures the strength and direction of a linear relationship between two variables, ranging from -1 (strong negative) to +1 (strong positive).

Front

What is a side-by-side bar graph used for?

Back

A side-by-side bar graph is used for comparing the distributions of two categorical variables.

Front

What should we be cautious about when interpreting scatterplots?

Back

We should be cautious not to confuse 'correlation' with 'causation' when interpreting scatterplots.

Front

What is an explanatory variable (EV)?

Back

An explanatory variable (EV) is the variable that is manipulated or changed in an experiment to observe its effect on the response variable.

Front

What does a weak positive correlation indicate?

Back

A weak positive correlation indicates that there is a slight tendency for one variable to increase as the other variable increases, but the relationship is not strong.

Front

What is the purpose of a scatterplot?

Back

A scatterplot is used to visually display the relationship between two quantitative variables, helping to identify patterns, trends, or correlations.

Front

What does it mean if there is no correlation between two variables?

Back

If there is no correlation between two variables, it means that changes in one variable do not predict changes in the other variable.

Front

What is the difference between correlation and causation?

Back

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