Scatterplots

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 the line of best fit represent in a scatterplot?

Back

The line of best fit represents the trend of the data points in a scatterplot, indicating the general direction of the relationship between the variables.

Front

What is a positive correlation in a scatterplot?

Back

A positive correlation occurs when an increase in one variable corresponds to an increase in another variable, resulting in an upward slope on the scatterplot.

Front

What is a negative correlation in a scatterplot?

Back

A negative correlation occurs when an increase in one variable corresponds to a decrease in another variable, resulting in a downward slope on the scatterplot.

Front

What does no correlation mean in a scatterplot?

Back

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

Front

How do you determine the average value using the line of best fit?

Back

To determine the average value using the line of best fit, locate the desired value on the x-axis, then find the corresponding value on the y-axis where the line intersects.

Front

What is the purpose of using scatterplots in data analysis?

Back

Scatterplots are used to visually assess the relationship between two variables, identify trends, and detect outliers in data.

Front

What is an outlier in a scatterplot?

Back

An outlier is a data point that lies significantly outside the general pattern of the other data points in a scatterplot.

Front

How can you identify a strong correlation in a scatterplot?

Back

A strong correlation is identified when the data points are closely clustered around the line of best fit, indicating a clear relationship between the variables.

Front

What is the difference between correlation and causation?

Back

Correlation indicates a relationship between two variables, while causation implies that one variable directly affects the other.