Classifying Associations

Front

What is a scatter plot?

Back

A scatter plot is a graphical representation of two variables, showing the relationship between them using points on a Cartesian plane.

Front

What does a positive correlation indicate in a scatter plot?

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 scatter plot?

Back

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

Front

What is the line of best fit in a scatter plot?

Back

The line of best fit is a straight line that best represents the data points in a scatter plot, indicating the overall trend of the data.

Front

How can you determine if a scatter plot shows a linear relationship?

Back

A scatter plot shows a linear relationship if the points roughly form a straight line, either increasing or decreasing.

Front

What does it mean if a scatter plot has no correlation?

Back

If a scatter plot has no correlation, it means there is no discernible relationship between the two variables; the points are scattered randomly.

Front

What is the purpose of using scatter plots in data analysis?

Back

Scatter plots are used to visually assess the relationship between two quantitative variables and to identify trends, patterns, or correlations.

Front

What is the significance of the slope of the line of best fit?

Back

The slope of the line of best fit indicates the direction and strength of the relationship between the two variables; a positive slope indicates a positive correlation, while a negative slope indicates a negative correlation.

Front

How can outliers affect the interpretation of a scatter plot?

Back

Outliers can skew the results and affect the line of best fit, potentially leading to misleading conclusions about the relationship between the variables.

Front

What is the difference between correlation and causation?

Back

Correlation indicates a relationship between two variables, while causation implies that one variable directly affects the other.