1) Explain how a scatter plot can be used. |
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2) When comparing data in a scatter plot, what does “correlation” mean? |
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For the next three problems, determine what type of relationship (positive, negative, or none) is shown. |
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3) What type of relationship is shown? |
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4) What type of relationship is shown? |
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5) What type of relationship is shown? |
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For the next three problems, determine whether a scatter plot of the data might show a positive, negative, or no relationship. Explain your answer. |
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6) weight, month of birth (State the type of relationship and explain why.) |
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7) study time, grades (State the type of relationship and explain why.) |
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8) number of hours you practice running, final placement in a race (State the type of relationship and explain why.) |
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9) Explain how to find the equation of the line of best fit for a scatter plot. |
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Use the data below to create a scatter plot, and then answer the next four problems. |
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13) What type of relationship, if any, does the data show between the weeks of experience and the speed? Please explain. |
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15) Using the equation of the line of best fit and the scatter plot, estimate the experience level of a student whose speed is 39 words per minute, and then explain how you found your answer. |
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16) Explain what conclusions you can make about the trend of the data displayed above. |
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17) The scatter plot of monthly tennis shoe sales and bicycle accidents in Ohio during June shows a positive relationship. (a) Why might this be true? (b) Does a positive relationship necessarily mean one factor causes the other? Explain. |
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The scatter plot below shows the speed for winning the Daytona 500 from 1960 – 1990. Use this data to answer the next three problems. |
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20) What conclusions can you make from the scatter plot? Please explain. |
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21) If you were directed by your school to complete Offline Activities for this course, please enter the information on the Log Entry form. |
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