8.5D: Scatterplots

Front

What is a scatterplot?

Back

A scatterplot is a graphical representation of two variables, showing the relationship between them using points on a Cartesian plane.

Front

What does the x-axis typically represent in a scatterplot?

Back

The x-axis usually represents the independent variable, which is the variable that is manipulated or changed.

Front

What does the y-axis typically represent in a scatterplot?

Back

The y-axis usually represents the dependent variable, which is the variable that is measured or observed.

Front

How can you determine the correlation between two variables in a scatterplot?

Back

You can determine the correlation by observing the direction and strength of the points' clustering: positive correlation (upward trend), negative correlation (downward trend), or no correlation (no discernible trend).

Front

What is a positive correlation in a scatterplot?

Back

A positive correlation occurs when an increase in one variable corresponds to an increase in the other variable, resulting in an upward trend.

Front

What is a negative correlation in a scatterplot?

Back

A negative correlation occurs when an increase in one variable corresponds to a decrease in the other variable, resulting in a downward trend.

Front

What does it mean if there is no correlation in a scatterplot?

Back

No correlation means that there is no apparent relationship between the two variables; the points are scattered randomly.

Front

How can you make predictions using a scatterplot?

Back

You can make predictions by identifying trends in the data points and estimating values based on the established relationship.

Front

What is an outlier in a scatterplot?

Back

An outlier is a data point that significantly differs from the other points in the scatterplot, which may indicate an anomaly or error.

Front

What is the purpose of creating a scatterplot?

Back

The purpose of creating a scatterplot is to visually analyze the relationship between two quantitative variables and identify patterns or trends.