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Grade 10 Scatter Plots Worksheet

This worksheet focuses on understanding, interpreting, and creating scatter plots, including identifying correlation and drawing lines of best fit, suitable for Grade 10 Math students.

Grade 10 Math Data and GraphingGraphing DataScatter Plots
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Includes

Multiple ChoiceFill in the Blanks2 Short AnswerTrue / False

Standards

CCSS.MATH.CONTENT.HSS.ID.B.6CCSS.MATH.CONTENT.HSS.ID.B.6aCCSS.MATH.CONTENT.HSS.ID.B.6c

Topics

scatter plotscorrelationline of best fitdata analysisGrade 10 Math
7 sections · Free to use · Printable
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Scatter Plots: Relationships in Data

Name:

Date:

Score:

Read each question carefully and provide your answer in the space provided. For questions involving graphs, use the provided coordinate plane. Good luck!

1. Which of the following scatter plots shows a strong negative correlation?

a
b
c
d

2. What type of correlation would you expect to see between the number of hours spent studying and a student's test score?

a

Positive correlation

b

Negative correlation

c

No correlation

d

Perfect correlation

3. A scatter plot shows the relationship between two   variables.

4. When the points on a scatter plot generally go down from left to right, it indicates a   correlation.

5. A   of best fit is a line drawn through the middle of the points on a scatter plot to show the trend.

6. The following data shows the number of hours a student spent exercising per week (x) and their resting heart rate (y).

Hours Exercising (x): 2, 4, 3, 5, 1, 6, 2, 4

Resting Heart Rate (y): 75, 68, 72, 65, 80, 62, 78, 70

Plot the data on the graph below. Then, draw a line of best fit and describe the type of correlation.

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Description of correlation:  

7. What does the line of best fit suggest about the relationship between hours of exercise and resting heart rate?

8. A scatter plot can be used to prove that one variable causes another.

T

True

F

False

9. A strong correlation means the data points are clustered closely around the line of best fit.

T

True

F

False

10. A marine biologist is studying the relationship between the water temperature (in °C) and the number of fish observed in a certain area. They collect the following data:

Temperature (°C): 10, 12, 11, 13, 10, 14, 12, 15

Number of Fish: 20, 25, 22, 28, 19, 30, 23, 33

Based on this data, predict the number of fish that might be observed if the water temperature is 16°C. Explain your reasoning.