Scatter Plot Review

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

What is the difference between linear and nonlinear relationships in scatter plots?

Back

A linear relationship shows a straight-line pattern, while a nonlinear relationship shows a curved pattern.

Front

How can you determine the correlation from a scatter plot?

Back

You can determine the correlation by observing the direction and pattern of the data points: upward slope for positive, downward slope for negative, and random scatter for no correlation.

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 correlation and overall interpretation of the data.

Front

What does it mean if a scatter plot is described as 'scattered'?

Back

A 'scattered' scatter plot indicates that the data points are widely spread out with no discernible pattern or trend.

Front

How can scatter plots be used in real-life applications?

Back

Scatter plots can be used to analyze relationships in various fields such as economics, education, and health, helping to identify trends and make predictions.

Front

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

Back

The purpose of using scatter plots is to visually represent the relationship between two variables, making it easier to identify patterns, trends, and correlations.