Scatter Plot Association Worksheet
Grade 11 Math worksheet focusing on understanding and interpreting scatter plot associations, including correlation and causation.
Includes
Topics
Scatter Plot Association
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Read each question carefully and provide your best answer. For scatter plot questions, analyze the relationship between the variables.
1. Which type of correlation describes a relationship where as one variable increases, the other variable tends to decrease?
Positive correlation
Negative correlation
No correlation
Causation
2. A scatter plot shows data points that are tightly clustered around a straight line sloping upwards. What does this indicate?
Strong negative correlation
Weak positive correlation
Strong positive correlation
No correlation
1. A relationship between two variables where a change in one directly causes a change in the other is called .
2. When interpreting a scatter plot, the of the data points suggests the strength of the linear relationship.
1. Correlation always implies causation.
True
False
2. An outlier in a scatter plot can significantly affect the correlation coefficient.
True
False
1. Describe the difference between a positive correlation and a negative correlation.
2. Provide an example of two variables that you would expect to have a strong positive correlation, and explain why.
Analyze the scatter plot below and answer the questions that follow.
1. What type of association (positive, negative, or no association) is displayed in the scatter plot above?
2. Describe the strength of the association (strong, moderate, or weak). Justify your answer.
1. A researcher observes a strong positive correlation between the number of ice cream sales and the number of drowning incidents in a city. Can the researcher conclude that eating ice cream causes drowning? Explain why or why not.