Writing equations for trend lines practice

Front

What is an outlier in a data set?

Back

An outlier is a data point that differs significantly from other observations in a dataset, often appearing far away from the trend of the other points.

Front

What does a strong negative correlation indicate?

Back

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

Front

What is the difference between linear and nonlinear relationships?

Back

A linear relationship can be represented by a straight line, while a nonlinear relationship cannot be represented by a straight line and may curve or change direction.

Front

What does 'no association' mean in a scatterplot?

Back

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

Front

What is a negative correlation?

Back

A negative correlation is a relationship between two variables in which one variable increases as the other decreases.

Front

How do you identify an outlier in a scatterplot?

Back

An outlier can be identified as a point that lies far away from the cluster of other points in the scatterplot.

Front

What is a scatterplot?

Back

A scatterplot is a graphical representation of two variables where each point represents an observation, allowing for the visualization of relationships between the variables.

Front

What does a strong positive correlation indicate?

Back

A strong positive correlation indicates that as one variable increases, the other variable also tends to increase significantly.

Front

What is the correlation coefficient?

Back

The correlation coefficient is a numerical measure of the strength and direction of a linear relationship between two variables, ranging from -1 to 1.

Front

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

Back

A 'scattered' scatterplot indicates that the points are widely dispersed and do not show any clear pattern or trend.