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 trend line in a scatter plot represent?

Back

A trend line is a straight line that best represents the data points in a scatter plot, indicating the general direction of the relationship between the variables.

Front

How can you use a scatter plot to make predictions?

Back

You can use a scatter plot to make predictions by extending the trend line to estimate values for variables not directly measured.

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 affect the other.

Front

How do you identify the type of correlation in a scatter plot?

Back

You identify the type of correlation by observing the direction of the trend line: upward for positive, downward for negative, and scattered for no correlation.

Front

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

Back

Scatter plots are used to visually assess relationships between variables, identify trends, and make predictions based on data.

Front

What is the significance of outliers in a scatter plot?

Back

Outliers are data points that differ significantly from other observations; they can affect the trend line and overall analysis.

Front

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

Back

The strength of a correlation can be determined by how closely the data points cluster around the trend line; tighter clusters indicate stronger correlations.