Based on the information provided, let's analyze the statements one by one:
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The data set would have a linear association.
- True: Since the relationship describes a consistent increase in grades with a consistent increase in study time (every 30 minutes corresponds to an 8-point increase), this indicates a linear association.
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The data set would have a nonlinear association.
- False: The relationship is linear as described, so it does not have a nonlinear association.
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The data set would have a positive correlation.
- True: There is a positive relationship between the number of hours studied and the test grades, meaning as study time increases, grades increase.
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The data set would have a negative correlation.
- False: Since grades increase with more study time, this indicates a positive correlation rather than a negative one.
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Every student earns 16 more points for each additional hour they study.
- True: If 30 minutes (or half an hour) of study leads to an 8-point increase, then studying an additional hour (which is 2 intervals of 30 minutes) would lead to an increase of 16 points (8 points per 30 minutes x 2).
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Students that study more tend to earn better grades on the test.
- True: This statement accurately reflects the positive correlation established whereby more study time is associated with better grades.
In summary, the true statements are:
- The data set would have a linear association.
- The data set would have a positive correlation.
- Every student earns 16 more points for each additional hour they study.
- Students that study more tend to earn better grades on the test.