A and C are the correct statements.
A reasonable prediction SAT score of 1700 is a GPA of 3.0 because based on the scatter plot, most of the data points with close to a SAT score of 1700 have a GPA around 3.0.
The line of best fit can be used to make predictions of GPA based on SAT score because it represents the overall trend of the data points and can be used to estimate the GPA for a given SAT score.
B is incorrect because based on the scatter plot, a SAT score of 2100 does not necessarily correspond to a GPA of 3.5. There are data points with different GPAs for similar SAT scores.
D is incorrect because the scatter plot is about the relationship between SAT score and GPA, not the price and age of a car.
E is also incorrect because while the line of best fit gives an approximation of the association between SAT score and GPA, it may not capture all the variability in the data points and may not be the best representation of the association.
The scatter plot shows the relationship between combined SAT score and first semester college GPA. Which statements are correct?
Responses
A A reasonable prediction SAT score of 1700 is a GPA of 3.0.A reasonable prediction SAT score of 1700 is a GPA of 3.0.
B A reasonable prediction SAT score of 2100 is a GPA of 3.5.A reasonable prediction SAT score of 2100 is a GPA of 3.5.
C The line of best fit can be used to make predictions of GPA based on SAT score.The line of best fit can be used to make predictions of GPA based on SAT score.
D The line of best fit shows that the price and age of a car have a negative association.The line of best fit shows that the price and age of a car have a negative association.
E The line of best fit gives the best approximation of the association between SAT score and GPA.
1 answer