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 in a scatter plot?

Back

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

Front

How do you determine the y-intercept from a scatter plot?

Back

The y-intercept is the point where the line of best fit crosses the y-axis, indicating the value of y when x is zero.

Front

What is the purpose of using scatter plots?

Back

Scatter plots are used to visually represent the relationship between two variables and to identify trends, correlations, or patterns in data.

Front

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

Back

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

Front

What is an example of a positive correlation?

Back

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

Front

What is an example of a negative correlation?

Back

An example of a negative correlation is the relationship between temperature and the amount of hot chocolate sold; as temperature increases, hot chocolate sales typically decrease.

Front

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

Back

A linear relationship can be identified if the data points roughly form a straight line, indicating a consistent rate of change between the variables.