Scatterplot Vocabulary Words

Analyzing the relationship between two variables by looking for patterns or trends in the plotted points.

Drawing a line through the plotted points

Ignoring the plotted points and focusing on the axes

Counting the number of points on the scatterplot

It measures the size of the data points in the scatterplot

It calculates the average of the two variables in the scatterplot

It counts the number of data points in the scatterplot

It measures the strength and direction of the relationship between two variables.

As one variable increases, the other variable also tends to increase

The variables have a negative correlation

There is no relationship between the variables

As one variable increases, the other variable tends to decrease

The variables have no relationship

The variables have a positive correlation

The variables have a curvilinear relationship

The variables have an inverse relationship

Strong positive correlation

Negative correlation

Weak or no correlation

Perfect correlation

There is no relationship between the variables.

The variables have a strong negative correlation

The variables have a strong positive correlation

The relationship between the variables is unclear

It is used to label the axes in the scatterplot

It shows the trend or relationship between the variables in the scatterplot.

It represents the average of the variables in the scatterplot

It indicates the highest point in the scatterplot

It has no effect on the relationship between the variables.

It indicates the degree of relationship between the variables.

It indicates the number of outliers in the data set.

It shows the direction of the relationship between the variables.

Outliers have no impact on the overall trend of a scatterplot.

Outliers are always located at the center of a scatterplot.

Outliers are perfectly aligned with other data points in a scatterplot.

Outliers are significantly different from other data points in a scatterplot.

angles, vertices, hypotenuse, circumference

prime numbers, composite numbers, factors, multiples

addition, subtraction, multiplication, division

correlation, trend, outliers, clusters