Question: A study tracks the average number of hours of sleep and test scores for 200 students. The line of best fit is given by: Score=7.5h+30 Where h is the number of hours of sleep. If a student scores lower than predicted by this model despite sleeping 8 hours, what might best explain this discrepancy, and what should researchers consider before adjusting the model?
A) The model is inaccurate and should be thrown out.
B) The student is likely an outlier; more data points around 8 hours should be examined before altering the model.
C) The slope should be reduced since the score was too low.
D) The intercept must be changed so the student’s data fits the equation.
Correct answer: B
Grade: 8 | Topic: Statistics and Probability | Difficulty: Hard | Standard: 8. SP. A. 3