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, 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 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

How can you identify a strong association in a scatterplot?

Back

A strong association is indicated by points that are closely clustered around a line, suggesting a clear relationship between the variables.

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 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 potential correlations.

Front

What does it mean if a scatterplot shows a linear relationship?

Back

A linear relationship means that the data points can be approximated by a straight line, indicating a consistent rate of change between the variables.

Front

What is the significance of outliers in a scatterplot?

Back

Outliers are data points that fall far from the general pattern of the data, which can indicate variability, errors, or unique cases that may need further investigation.

Front

How can scatterplots be used to predict outcomes?

Back

Scatterplots can be used to create regression models that allow for predictions of one variable based on the value of another.