Scatterplots

Front

What is a scatterplot?

Back

A scatterplot is a type of graph that displays values for typically two variables for a set of data. Each point represents an observation in the dataset.

Front

What does a positive correlation in a scatterplot indicate?

Back

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

Front

What does a negative correlation in a scatterplot indicate?

Back

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

Front

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

Back

No correlation 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 correlation in a scatterplot?

Back

A strong correlation is identified when the points in the scatterplot are closely clustered around a straight line.

Front

What is a trend line in a scatterplot?

Back

A trend line is a straight line that best represents the data on a scatterplot, showing the general direction of the data points.

Front

What is the purpose of using a scatterplot?

Back

Scatterplots are used to visualize the relationship between two quantitative variables and to identify patterns, trends, or correlations.

Front

What does it mean if a scatterplot has a weak correlation?

Back

A weak correlation means that the data points are more spread out and do not closely follow a straight line, indicating a less predictable relationship.

Front

How do you interpret the slope of a trend line in a scatterplot?

Back

The slope of a trend line indicates the direction and steepness of the relationship between the two variables; a positive slope indicates a positive correlation, while a negative slope indicates a negative correlation.

Front

What is the significance of outliers in a scatterplot?

Back

Outliers are data points that fall far away from the trend of the rest of the data; they can significantly affect the correlation and interpretation of the data.