Scatterplot Correlation

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 correlation indicate in a scatterplot?

Back

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

Front

What does a negative correlation indicate in a scatterplot?

Back

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

Front

What does no correlation mean 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 visually identify a positive correlation in a scatterplot?

Back

A positive correlation can be visually identified by an upward trend in the points from left to right.

Front

How can you visually identify a negative correlation in a scatterplot?

Back

A negative correlation can be visually identified by a downward trend in the points from left to right.

Front

What is the range of correlation coefficients?

Back

The range of correlation coefficients is from -1 to +1, where -1 indicates a perfect negative correlation, +1 indicates a perfect positive correlation, and 0 indicates no correlation.

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 correlations.

Front

What is an example of a situation with a negative correlation?

Back

An example of a negative correlation is the relationship between the amount of time spent studying and the number of errors made on a test; as study time increases, errors typically decrease.

Front

What is an example of a situation with a positive correlation?

Back

An example of a positive correlation is the relationship between the number of hours worked and the amount of money earned; as hours worked increase, earnings typically increase.