Analyze Scatter Plot Data

Mrs. Collins made a scatterplot to show the relationship between the number of absences and a student’s final exam score. Based on this scatterplot, a student with 6 absences should get approximately what score on the final exam? 

• 65

• 92

• 70

• 76

Based on the graph, if Joe earned $800, how many hours did he work?

• 45 hours

• 60 hours

• 30 hours

• 15 hours

Based on the graph, if Joe earned $400, how many hours did he work?

• 25 hours

• 35 hours

• 45 hours

• 15 hours

What might a scatter plot be used for in real life?

• To determine the best type of pet.

• To analyze the relationship between height and shoe size.

• To choose a color for painting a room.

• To decide what to have for lunch.

What question would lead to data that would best be represented by a scatterplot?

• Is a student's favorite class related to the grade they received on their last test?

• What sports have the lowest amount of points scored?

• Is more ice cream sold on days it is hotter?

• What is the average attendance at school each day?

What is one reason to use a scatter plot?

• To show how variables are unrelated.

• To predict the outcome of one variable based on another.

• To show data in alphabetical order.

• To count the number of data points.

Jim recorded snow cone sales throughout the year. He made this scatter plot to help him analyze the data. Which statement about the snow cones is correct?

• There is a positive, linear association between the temperature and the snow cones sales

• There is a positive, nonlinear association between the temperature and the snow cone sales

• There is a negative, linear association between the temperature and the snow cone sales

• There is a negative, nonlinear association between the temperature and the snow cone sales.

Which scatter plot shows a linear relationship between x and y?

• Graph A

• Graph B

• Graph C

• Graph D

What type of association does this graph have?

• positive

• negative

• none

• all of the above

A scatter plot shows the association between incomplete assignments and the scores on a test.

Select all the false statements.

• There is a positive, linear association between the incomplete assignments and the test scores

• There is a negative, linear association between the incomplete assignments and the test scores

• The data is clustered with no outliers

• Most of the data is clustered with only one outlier (8, 88%)

• Most of the data is clustered with two outliers (1, 48%) and (8, 88%)