Scatterplots

Front

What is a scatterplot?

Back

A scatterplot is a graphical representation of two variables, where each point represents an observation in the dataset, allowing for the visualization of relationships between the variables.

Front

What does a correlation coefficient of r = 1 indicate?

Back

A correlation coefficient of r = 1 indicates a perfect positive linear correlation between two variables.

Front

What does a correlation coefficient of r = -1 indicate?

Back

A correlation coefficient of r = -1 indicates a perfect negative linear correlation between two variables.

Front

What does a correlation coefficient of r = 0 indicate?

Back

A correlation coefficient of r = 0 indicates no correlation between the two variables.

Front

What is a strong positive correlation?

Back

A strong positive correlation occurs when an increase in one variable is associated with a significant increase in another variable, typically represented by a correlation coefficient close to +1.

Front

What is a strong negative correlation?

Back

A strong negative correlation occurs when an increase in one variable is associated with a significant decrease in another variable, typically represented by a correlation coefficient close to -1.

Front

How can you visually identify correlation in a scatterplot?

Back

You can visually identify correlation in a scatterplot by observing the direction and pattern of the points; a linear pattern indicates correlation, while a random scatter indicates no correlation.

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.

Front

What is the range of correlation coefficients?

Back

The range of correlation coefficients is from -1 to +1.

Front

What does a correlation coefficient of r = 0.69 suggest about the relationship between two variables?

Back

A correlation coefficient of r = 0.69 suggests a moderate positive correlation between the two variables.