FB 15 - 2-Way Tables and Scatterplots

Front

What is a 2-way table?

Back

A 2-way table is a statistical table that displays the frequency distribution of two categorical variables, allowing for the analysis of the relationship between them.

Front

What does a scatterplot represent?

Back

A scatterplot is a graph that shows the relationship between two quantitative variables, with each point representing an observation.

Front

What is the line of best fit?

Back

The line of best fit is a straight line that best represents the data on a scatterplot, minimizing the distance between the line and all the points.

Front

What does a correlation coefficient of r = 0 indicate?

Back

A correlation coefficient of r = 0 indicates no linear relationship between the two variables.

Front

What does a positive correlation look like on a scatterplot?

Back

A positive correlation on a scatterplot shows that as one variable increases, the other variable also tends to increase.

Front

What does a negative correlation look like on a scatterplot?

Back

A negative correlation on a scatterplot shows that as one variable increases, the other variable tends to decrease.

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

How can you determine the strength of a correlation?

Back

The strength of a correlation can be determined by the absolute value of the correlation coefficient: values closer to 1 or -1 indicate a stronger correlation.

Front

What does it mean if a scatterplot shows no relationship?

Back

If a scatterplot shows no relationship, the points are scattered randomly, indicating that changes in one variable do not affect the other.

Front

What is the purpose of using a 2-way table in statistics?

Back

A 2-way table is used to summarize and analyze the relationship between two categorical variables, making it easier to identify patterns and trends.