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 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%0AA reasonable prediction SAT score of 2100 is a GPA of 3.5.%0D%0AA reasonable prediction SAT score of 2100 is a GPA of 3.5.%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%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%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 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.
The line of best fit can be used to make predictions of GPA based on SAT score.
A reasonable prediction SAT score of 2100 is a GPA of 3.5.
This is not an accurate line of best fit because it doesn't hit the lowest point.
The line of best fit shows that the combined SAT Score and first semester SAT have a negative correlation.
A reasonable prediction SAT score of 1700 is a GPA of 3.0.
The line of best fit gives the best approximation of the association between SAT score and GPA.
pick the best fit answers
The line of best fit can be used to make predictions of GPA based on SAT score.
A reasonable prediction SAT score of 2100 is a GPA of 3.5.
The line of best fit shows that the combined SAT Score and first semester SAT have a negative correlation.
The line of best fit gives the best approximation of the association between SAT score and GPA.
To determine which statements are correct, let's analyze each one:
1. 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 regression line that approximates the relationship between SAT score and GPA. We can use this line to predict GPA values for given SAT scores.
2. A reasonable prediction of SAT score 2100 is a GPA of 3.5. - Since we don't have any information about the scatter plot or the line of best fit, we cannot determine the accuracy of this prediction. We need to have a reference to evaluate this statement.
3. This is not an accurate line of best fit because it doesn't hit the lowest point. - This statement is incorrect. The line of best fit is not required to pass through every data point. Its purpose is to provide the best overall approximation of the relationship between the variables.
4. The line of best fit shows that the combined SAT score and first-semester GPA have a negative correlation. - Without seeing the scatter plot, we cannot determine the accuracy of this statement. The line's slope can indicate the direction of the correlation, either positive or negative.
5. A reasonable prediction of SAT score 1700 is a GPA of 3.0. - As with statement 2, we need more information to evaluate the accuracy of this prediction.
6. The line of best fit gives the best approximation of the association between SAT score and GPA. - This statement is generally correct. The line of best fit is intended to provide the best overall approximation of the relationship between the variables. However, it may not capture every nuance in the data, so it should be used as an estimation rather than an absolute representation.
Based on the analysis, statements 1 and 6 are correct, while statements 2, 3, 4, and 5 cannot be evaluated without more information.