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Scatter Plot Word Problems

This worksheet helps sixth-grade students practice interpreting and creating scatter plots from word problems and analyzing relationships between data sets.

Grade 6 Math Data and GraphingScatter Plot Word Problems
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Includes

3 CustomMultiple ChoiceTrue / False

Standards

CCSS.MATH.CONTENT.6.SP.B.4CCSS.MATH.CONTENT.6.SP.B.5.C
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Scatter Plot Word Problems

Name:

Date:

Score:

Read each word problem carefully. Create a scatter plot for the given data, then answer the questions that follow.

1. A scientist is studying the relationship between the number of hours a plant is exposed to sunlight and its growth in centimeters. Here is the data collected:

Hours of Sunlight (x): 2, 4, 6, 8, 10 Growth in cm (y): 3, 7, 10, 13, 16

Create a scatter plot for this data.

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a. What type of relationship do you observe between sunlight and plant growth?

b. If a plant is exposed to 7 hours of sunlight, estimate its growth based on your scatter plot.

2. A school counselor tracked the number of hours students spent studying for a math test and their scores on the test. Here is the data:

Hours Studied (x): 1, 2, 3, 4, 5 Test Score (y): 65, 70, 80, 85, 95

Create a scatter plot for this data.

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a. Describe the correlation shown in the scatter plot.

b. Do you think studying more hours guarantees a higher score? Explain your reasoning.

3. The table below shows the age of a car (in years) and its corresponding selling price (in thousands of dollars).

Age (Years)

Price (Thousands $)

1

25

2

22

3

18

4

15

5

10

Create a scatter plot for this data.

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a. What kind of relationship exists between the age of a car and its selling price?

b. Predict the selling price of a 6-year-old car based on the trend.

4. Which of the following scatter plots would likely show a negative correlation?

a

Hours spent exercising vs. Calories burned

b

Temperature outside vs. Ice cream sales

c

Number of hours slept vs. Level of fatigue

d

Height of a person vs. Their shoe size

5. A scatter plot showing no clear pattern between two variables indicates a strong correlation.

T

True

F

False