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 in a scatter plot indicate?

Back

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

Front

What does a negative correlation in a scatter plot indicate?

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 predictable relationship between the two variables; the data points do not follow any pattern.

Front

What is an example of a positive association?

Back

An example of a positive association is the relationship between the age of a kitten and its weight; as the kitten gets older, it generally weighs more.

Front

What is an example of a negative association?

Back

An example of a negative association is the relationship between the amount of time spent studying and the number of mistakes made on a test; more study time usually leads to fewer mistakes.

Front

What is a linear relationship in a scatter plot?

Back

A linear relationship is when the data points in a scatter plot can be approximated by a straight line, indicating a consistent rate of change between the variables.

Front

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

Back

You can identify a linear relationship by observing if the data points form a pattern that resembles a straight line.

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 strong correlation?

Back

A strong correlation means that the data points are closely clustered around a line, indicating a strong relationship between the two variables.