Scatter Plots Correlations

Front

What is a scatter plot?

Back

A scatter plot is a graphical representation of two variables, where each point represents an observation in the dataset, allowing for the visualization of relationships or correlations between the variables.

Front

What does correlation indicate in a scatter plot?

Back

Correlation indicates the strength and direction of a linear relationship between two variables. It can be positive, negative, or zero.

Front

What is a positive correlation?

Back

A positive correlation occurs when an increase in one variable corresponds to an increase in another variable, resulting in an upward slope in the scatter plot.

Front

What is a negative correlation?

Back

A negative correlation occurs when an increase in one variable corresponds to a decrease in another variable, resulting in a downward slope in the scatter plot.

Front

What does it mean if there is no correlation between two variables?

Back

If there is no correlation, it means that changes in one variable do not predict changes in the other variable, and the scatter plot will show a random distribution of points.

Front

How can you determine the strength of a correlation?

Back

The strength of a correlation can be determined by how closely the points in a scatter plot cluster around a line. A tighter cluster indicates a stronger correlation.

Front

What is the purpose of using a scatter plot?

Back

The purpose of using a scatter plot is to visually assess the relationship between two quantitative variables and to identify patterns, trends, or outliers.

Front

What is the correlation coefficient?

Back

The correlation coefficient is a numerical measure that quantifies the strength and direction of a linear relationship between two variables, ranging from -1 to 1.

Front

What does a correlation coefficient of 1 indicate?

Back

A correlation coefficient of 1 indicates a perfect positive linear relationship between two variables.

Front

What does a correlation coefficient of -1 indicate?

Back

A correlation coefficient of -1 indicates a perfect negative linear relationship between two variables.