Scatterplot Predictions

Front

What is a scatterplot?

Back

A scatterplot 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 scatterplot 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 scatterplot indicate?

Back

A negative correlation indicates that as one variable increases, the other variable tends to decrease.

Front

What is the purpose of using scatterplots?

Back

Scatterplots are used to visually represent the relationship between two variables and to identify trends, patterns, or correlations.

Front

How can you determine the strength of a correlation from a scatterplot?

Back

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

Front

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

Back

No correlation means that there is no discernible relationship between the two variables; the data points do not show any pattern.

Front

What is a line of best fit?

Back

A line of best fit is a straight line that best represents the data on a scatterplot, showing the general direction of the relationship between the variables.

Front

How do you interpret the slope of the line of best fit?

Back

The slope indicates the rate of change between the two variables; a positive slope means an increase in one variable leads to an increase in the other, while a negative slope indicates the opposite.

Front

What is an outlier in a scatterplot?

Back

An outlier is a data point that lies significantly outside the general pattern of the data, which can affect the correlation and the line of best fit.

Front

What is the significance of the x-axis and y-axis in a scatterplot?

Back

The x-axis typically represents the independent variable, while the y-axis represents the dependent variable.