Scatterplot and Line of Best Fit

Front

What is a scatterplot?

Back

A scatterplot is a graph that shows the relationship between two variables by displaying data points on a two-dimensional grid.

Front

What does a line of best fit represent in a scatterplot?

Back

A line of best fit represents the trend of the data points in a scatterplot, helping to visualize the relationship between the variables.

Front

How can you determine the number of hours worked if Joe earned $400 from a scatterplot?

Back

You can find the corresponding point on the scatterplot for $400 and read the number of hours from the x-axis.

Front

What is the purpose of using a line of best fit?

Back

The purpose of using a line of best fit is to make predictions about one variable based on the value of another variable.

Front

If a student has 6 absences, how can you estimate their final exam score using a scatterplot?

Back

You can locate the point for 6 absences on the scatterplot and find the corresponding score on the y-axis.

Front

What does the slope of a line of best fit indicate?

Back

The slope of a line of best fit indicates the rate of change between the two variables in the scatterplot.

Front

What is the significance of the y-intercept in a line of best fit?

Back

The y-intercept is the value of the dependent variable when the independent variable is zero, providing a starting point for the trend.

Front

How do you predict the number of chapters in a book with 180 pages using a scatterplot?

Back

You can use the trend line on the scatterplot to estimate the number of chapters corresponding to 180 pages.

Front

What is the relationship between the number of absences and final exam scores in a scatterplot?

Back

Typically, as the number of absences increases, the final exam score may decrease, indicating a negative correlation.

Front

What does it mean if the points on a scatterplot are closely clustered around the line of best fit?

Back

It means there is a strong correlation between the two variables, indicating that one variable can reliably predict the other.