Scatterplots and associations

Front

What is a scatterplot?

Back

A scatterplot is a graphical representation of two variables where each point represents an observation in the dataset, showing the relationship between the variables.

Front

What does a positive association in a scatterplot indicate?

Back

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

Front

What does a negative association in a scatterplot indicate?

Back

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

Front

What does 'no association' mean in the context of a scatterplot?

Back

'No association' means that there is no discernible relationship between the two variables; changes in one variable do not predict changes in the other.

Front

What is the purpose of using scatterplots in data analysis?

Back

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

Front

What is a linear association in a scatterplot?

Back

A linear association is a relationship between two variables that can be represented by a straight line, indicating a consistent rate of change.

Front

How can you identify a positive linear association in a scatterplot?

Back

A positive linear association is identified by points that trend upwards from left to right, forming a pattern that resembles a straight line.

Front

How can you identify a negative linear association in a scatterplot?

Back

A negative linear association is identified by points that trend downwards from left to right, forming a pattern that resembles a straight line.

Front

What is the significance of outliers in a scatterplot?

Back

Outliers are data points that fall far from the general pattern of the scatterplot; they can indicate variability in the data or errors in measurement.

Front

What is the role of correlation coefficients in analyzing scatterplots?

Back

Correlation coefficients quantify the strength and direction of the relationship between two variables, with values ranging from -1 to 1.