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 is the line of best fit?

Back

The line of best fit is a straight line that best represents the data on a scatter plot, showing the general direction of the data points.

Front

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

Back

The strength of a correlation can be determined by how closely the data points cluster around the line of best fit; tighter clustering indicates a stronger correlation.

Front

What does it mean if there is no correlation in a scatter plot?

Back

No correlation means that there is no apparent relationship between the two variables; the data points are scattered randomly.

Front

How can you use a scatter plot to make predictions?

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You can use a scatter plot to make predictions by extending the line of best fit to estimate values for one variable based on known values of the other variable.

Front

What is an example of a positive relationship in a scatter plot?

Back

An example of a positive relationship is the correlation between hours studied and test scores; generally, more study time leads to higher scores.

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What is an example of a negative relationship in a scatter plot?

Back

An example of a negative relationship is the correlation between the amount of time spent on social media and academic performance; more time on social media may lead to lower grades.

Front

What is the purpose of analyzing scatter plots?

Back

The purpose of analyzing scatter plots is to identify relationships, trends, and patterns between two variables.