Unit 8: Scatterplots and Associations

Front

What is a scatterplot?

Back

A scatterplot is a graph that shows the relationship between two quantitative variables by displaying data points on a two-dimensional axis.

Front

What does a positive linear association indicate in a scatterplot?

Back

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

Front

What does a negative linear association indicate in a scatterplot?

Back

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

Front

What is a non-linear association in a scatterplot?

Back

A non-linear association occurs when the relationship between the variables cannot be accurately represented by a straight line.

Front

What does 'no association' mean in the context of scatterplots?

Back

'No association' means that there is no discernible relationship between the two variables being plotted.

Front

How can you determine the type of association from a scatterplot?

Back

You can determine the type of association by observing the direction and pattern of the data points: upward slope for positive, downward slope for negative, and scattered points for no association.

Front

What is the purpose of using scatterplots in data analysis?

Back

Scatterplots are used to visually assess the relationship between two variables, helping to identify trends, correlations, or patterns.

Front

What does it mean if a scatterplot shows a cluster of points?

Back

A cluster of points in a scatterplot indicates that there is a concentration of data points around a certain area, suggesting a potential relationship or trend.

Front

What is the significance of the slope in a linear association?

Back

The slope indicates the rate of change between the two variables; a steeper slope means a stronger relationship.

Front

How do you interpret the correlation coefficient in relation to scatterplots?

Back

The correlation coefficient quantifies the strength and direction of a linear relationship between two variables, ranging from -1 (perfect negative) to +1 (perfect positive).