scatterplots basics 1

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 linear relationship in a scatterplot indicate?

Back

A linear relationship indicates that as one variable increases or decreases, the other variable tends to do the same in a consistent manner, forming a straight line when graphed.

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 data points.

Front

How can you identify a strong correlation in a scatterplot?

Back

A strong correlation is indicated by data points that are closely clustered around the line of best fit, showing a clear trend.

Front

What does it mean if a scatterplot shows no correlation?

Back

No correlation means that there is no discernible relationship between the two variables, and the data points are scattered randomly.

Front

What type of relationship would you expect between temperature and beach visitors?

Back

You would expect a positive correlation, where higher temperatures lead to more visitors at the beach.

Front

What is the purpose of using scatterplots in data analysis?

Back

Scatterplots are used to visually assess the relationship between two variables, helping to identify trends, correlations, and outliers.

Front

What does a downward slope in a scatterplot indicate?

Back

A downward slope indicates a negative correlation, meaning that as one variable increases, the other variable decreases.

Front

What is the significance of outliers in a scatterplot?

Back

Outliers are data points that fall far from the trend of the rest of the data, which can indicate anomalies or errors in data collection.

Front

How can scatterplots be used in real-life situations?

Back

Scatterplots can be used in various fields such as economics, biology, and education to analyze relationships, such as studying the impact of study hours on test scores.