Unit Review: Scatter Plot/Line of Best Fit

Front

What is a scatter plot?

Back

A scatter plot 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 indicate in a scatter plot?

Back

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

Front

What does a negative correlation indicate in a scatter plot?

Back

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

Front

What does 'no association' mean in the context of scatter plots?

Back

'No association' means that there is no discernible relationship between the two variables being plotted.

Front

What is the line of best fit?

Back

The line of best fit is a straight line that best represents the data on a scatter plot, showing the general direction of the data points.

Front

How can you determine the strength of a correlation from a scatter plot?

Back

The strength of a correlation can be determined by how closely the data points cluster around the line of best fit; closer clustering indicates a stronger correlation.

Front

What is an example of a strong positive correlation?

Back

An example of a strong positive correlation is the relationship between hours studied and test scores, where more study hours typically lead to higher scores.

Front

What is an example of a strong negative correlation?

Back

An example of a strong negative correlation is the relationship between the amount of time spent watching TV and test scores, where more TV time typically leads to lower scores.

Front

What does it mean if the points on a scatter plot are widely spread out?

Back

If the points on a scatter plot are widely spread out, it indicates a weak correlation between the two variables.

Front

How can you use a scatter plot to make predictions?

Back

You can use a scatter plot to make predictions by extending the line of best fit to estimate values for one variable based on known values of the other variable.