Algebra class Scatter Plots Correlations

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 grid.

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 correlation mean in a scatter plot?

Back

No correlation means there is no apparent relationship between the two variables; changes in one variable do not predict changes in the other.

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 scatter plot, showing the general direction of the data points.

Front

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

Back

You can determine the type of correlation by observing the direction of the data points: upward slope indicates positive correlation, downward slope indicates negative correlation, and no slope indicates no correlation.

Front

What is the purpose of using scatter plots in data analysis?

Back

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

Front

What is an example of a positive correlation?

Back

An example of a positive correlation is the relationship between hours studied and test scores; generally, more study time leads to higher scores.

Front

What is an example of a negative correlation?

Back

An example of a negative correlation is the relationship between the amount of time spent watching TV and grades; more TV time often leads to lower grades.

Front

What is an example of no correlation?

Back

An example of no correlation is the relationship between shoe size and intelligence; there is no predictable relationship between these two variables.