To assess the accuracy of the statements, let's analyze them one by one based on typical scatter plot interpretations involving SAT scores and college GPA.
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The line of best fit shows that the combined SAT Score and first semester SAT have a negative correlation.
- Incorrect: Typically, higher SAT scores are associated with higher GPAs, which suggests a positive correlation.
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This is not an accurate line of best fit because it doesn't hit the lowest point.
- Incorrect: A line of best fit does not need to touch all data points, including the lowest one. It aims to capture the overall trend of the data.
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The line of best fit gives the best approximation of the association between SAT score and GPA.
- Correct: The line of best fit is designed to represent the overall trend in the data, making this statement accurate.
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The line of best fit can be used to make predictions of GPA based on SAT score.
- Correct: The line of best fit is indeed used for predicting values based on established trends.
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A reasonable prediction SAT score of 1700 is a GPA of 3.0.
- Cannot determine without additional data: This could be true or false depending on the actual placement of the line of best fit on the scatter plot.
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A reasonable prediction SAT score of 2100 is a GPA of 3.5.
- Cannot determine without additional data: Similar to the previous statement, this may be accurate or not based on where the line of best fit lies.
Based on this analysis, the correct statements are:
- The line of best fit gives the best approximation of the association between SAT score and GPA.
- The line of best fit can be used to make predictions of GPA based on SAT score.
The correctness of the SAT score predictions (1700 predicting a GPA of 3.0 and 2100 predicting a GPA of 3.5) cannot be determined without the actual scatter plot for reference.