Interpreting and making predictions with Scatter Plots

Front

What does the y-axis represent in a scatter plot?

Back

The y-axis typically represents the dependent variable, which is the outcome being measured. For example, in a scatter plot showing earnings, the y-axis would represent the amount earned in dollars.

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 is the purpose of a line of best fit in a scatter plot?

Back

The line of best fit is used to summarize the relationship between the variables in a scatter plot, helping to make predictions about one variable based on the other.

Front

How can you interpret a positive correlation in a scatter plot?

Back

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

Front

How can you interpret a negative correlation in a scatter plot?

Back

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

Front

What does it mean if there is no correlation in a scatter plot?

Back

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

Front

What is the significance of outliers in a scatter plot?

Back

Outliers are data points that differ significantly from other observations. They can indicate variability in the data or errors in measurement.

Front

How do you determine the approximate value of a variable using a scatter plot?

Back

You can determine the approximate value by locating the corresponding point on the scatter plot and reading the value from the axes.

Front

What is the relationship between hours worked and amount earned in a scatter plot?

Back

Typically, there is a positive correlation where more hours worked leads to a higher amount earned.

Front

What does a steep slope in a line of best fit indicate?

Back

A steep slope indicates a strong relationship between the variables, meaning that small changes in one variable result in large changes in the other.