The scatter plot shows the relationship between combined SAT score and first semester college GPA.%0D%0A%0D%0AChoose all statements that are correct?%0D%0A%0D%0A(3 points)%0D%0AResponses%0D%0A%0D%0AThe line of best fit shows that the combined SAT Score and first semester SAT have a negative correlation.%0D%0AThe line of best fit shows that the combined SAT Score and first semester SAT have a negative correlation.%0D%0A%0D%0AThis is not an accurate line of best fit because it doesn't hit the lowest point.%0D%0AThis is not an accurate line of best fit because it doesn't hit the lowest point.%0D%0A%0D%0AA reasonable prediction SAT score of 1700 is a GPA of 3.0.%0D%0AA reasonable prediction SAT score of 1700 is a GPA of 3.0.%0D%0A%0D%0AThe line of best fit can be used to make predictions of GPA based on SAT score.%0D%0AThe line of best fit can be used to make predictions of GPA based on SAT score.%0D%0A%0D%0AThe line of best fit gives the best approximation of the association between SAT score and GPA.%0D%0AThe line of best fit gives the best approximation of the association between SAT score and GPA.%0D%0A%0D%0AA reasonable prediction SAT score of 2100 is a GPA of 3.5.
The correct statements are:
- The line of best fit shows that the combined SAT Score and first semester SAT have a negative correlation.
- This is not an accurate line of best fit because it doesn't hit the lowest point.
- A reasonable prediction SAT score of 1700 is a GPA of 3.0.
- The line of best fit can be used to make predictions of GPA based on SAT score.
- The line of best fit gives the best approximation of the association between SAT score and GPA.
- A reasonable prediction SAT score of 2100 is a GPA of 3.5.
choose only 3
The three correct statements are:
- The line of best fit can be used to make predictions of GPA based on SAT score.
- The line of best fit gives the best approximation of the association between SAT score and GPA.
- A reasonable prediction SAT score of 1700 is a GPA of 3.0.
To determine which statements are correct, let's analyze each statement and determine if it accurately describes the scatter plot.
1. The line of best fit shows that the combined SAT Score and first semester SAT have a negative correlation.
- This statement is duplicated. It is unclear whether it is true or false since the term "first semester SAT" is not mentioned in the original question.
2. This is not an accurate line of best fit because it doesn't hit the lowest point.
- This statement is incorrect. The accuracy of a line of best fit is not determined by whether it hits the lowest point. The line of best fit is intended to approximate the overall trend of the data.
3. A reasonable prediction SAT score of 1700 is a GPA of 3.0.
- Without knowing the specific data points on the scatter plot, it is not possible to determine the accuracy of this prediction. The statement does not provide sufficient information to determine its correctness.
4. The line of best fit can be used to make predictions of GPA based on SAT score.
- This statement is correct. The line of best fit is a statistical tool that allows for predictions to be made based on the relationship between variables. In this case, it suggests that GPA can be predicted based on the SAT score.
5. The line of best fit gives the best approximation of the association between SAT score and GPA.
- This statement is true. The line of best fit is calculated to provide the best approximation of the overall relationship between SAT score and GPA. It represents the average trend of the data points.
6. A reasonable prediction SAT score of 2100 is a GPA of 3.5.
- Similar to statement 3, without knowing the specific data points on the scatter plot, it is not possible to determine the accuracy of this prediction. The statement does not provide sufficient information to determine its correctness.
Therefore, the correct statements are:
- The line of best fit can be used to make predictions of GPA based on SAT score.
- The line of best fit gives the best approximation of the association between SAT score and GPA.