Scatterplot Introduction

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 is an outlier in a scatterplot?

Back

An outlier is a point that is far outside the main cluster of points in a scatterplot, which can indicate variability in the data.

Front

What does it mean if a scatterplot shows no correlation?

Back

No correlation means that there is no apparent 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 indicated by points that are closely clustered around a straight line, either positively or negatively.

Front

What is the purpose of using scatterplots?

Back

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

Front

What does it mean if a scatterplot has two clusters?

Back

Two clusters in a scatterplot indicate that there are two distinct groups of data points that are separated from each other.

Front

What is the difference between strong and weak correlation?

Back

Strong correlation means the points are closely aligned to a line, while weak correlation means the points are more spread out and less aligned.

Front

What is the significance of the slope in a scatterplot?

Back

The slope 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.