Scatter Plot Word Problems
This worksheet focuses on interpreting and creating scatter plots from real-world data, analyzing correlation, and making predictions.
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Scatter Plot Word Problems
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Read each word problem carefully. For questions involving data, create a scatter plot, determine the type of correlation, and answer the questions that follow. Show all your work.
1. A study tracked the number of hours students spent studying for a math test and their corresponding test scores. The data is shown below:
Hours Studied: 2, 3, 4, 5, 6, 7, 8
Test Score: 60, 65, 70, 75, 80, 85, 90
a) Create a scatter plot for this data.
b) Describe the correlation between hours studied and test scores (positive, negative, or no correlation).
c) If a student studied for 5.5 hours, what would you predict their test score to be based on the trend?
2. The scatter plot below shows the relationship between the age of a car and its selling price. Which statement best describes the correlation?
Strong positive correlation
Strong negative correlation
No correlation
Weak positive correlation
3. The more time a person spends exercising, the more calories they burn. This is an example of a correlation.
4. As the temperature outside decreases, the sales of ice cream typically decrease. This is an example of a correlation.
5. A researcher found that there was no clear relationship between the number of hours a person sleeps and their favorite color. This indicates correlation.
6. A company wants to determine if there is a relationship between the amount of money spent on advertising and their monthly sales. They collected the following data:
Advertising Spend (in thousands $): 10, 15, 20, 25, 30
Monthly Sales (in thousands $): 50, 60, 75, 80, 90
a) Plot the data on a scatter plot.
b) Draw a line of best fit. What does the slope of this line represent in the context of the problem?
c) Predict the monthly sales if the company spends $35,000 on advertising.
7. A scatter plot with points generally going downwards from left to right indicates a positive correlation.
True
False
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