Scatter Plots and Correlations

Front

What is a scatter plot?

Back

A scatter plot is a graph that shows the relationship between two quantitative variables by displaying data points on a two-dimensional axis.

Front

What does it mean if a scatter plot shows no association?

Back

It means that there is no predictable pattern or relationship between the two variables represented in the scatter plot.

Front

How can you determine the strength of a correlation in a scatter plot?

Back

The strength of a correlation can be determined by how closely the data points cluster around a line. The closer the points are to the line, the stronger the correlation.

Front

What is a positive correlation in a scatter plot?

Back

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

Front

What is a negative correlation in a scatter plot?

Back

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

Front

What does it mean if a scatter plot has a strong correlation?

Back

A strong correlation means that the data points are closely packed together and follow a clear trend, either positive or negative.

Front

What is an example of variables that would likely show a positive correlation?

Back

The number of hours studied and the score on a test are likely to show a positive correlation.

Front

What is an example of variables that would likely show a negative correlation?

Back

The amount of time spent watching TV and the score on a test are likely to show a negative correlation.

Front

What is the purpose of using scatter plots?

Back

Scatter plots are used to visually represent the relationship between two variables, making it easier to identify trends, correlations, and outliers.

Front

What does it mean if a scatter plot has a weak correlation?

Back

A weak correlation means that the data points are spread out and do not follow a clear trend, indicating little to no relationship between the variables.