Unit 4 Skills Check #1 Scatter Plots

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 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 does no correlation mean in a scatter plot?

Back

No correlation means there is no apparent relationship between the two variables; changes in one do not predict changes in the other.

Front

How can you identify a linear relationship in a scatter plot?

Back

A linear relationship can be identified if the data points form a straight line or a pattern that closely resembles a straight line.

Front

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

Back

Scatter plots are used to visually assess the relationship between two variables, helping to identify trends, correlations, and outliers.

Front

What does it mean if a scatter plot shows a cluster of points?

Back

A cluster of points in a scatter plot indicates that there is a concentration of data points around a certain area, suggesting a potential relationship.

Front

What is the significance of the slope in a scatter plot?

Back

The slope indicates the direction and steepness of the relationship between the two variables; a positive slope means 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 may lead to incorrect 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.