Question: A researcher is investigating the relationship between daily temperature and number of ice creams sold. Three interns created scatter plots and drew lines of best fit: Intern A included all points, including two days with extreme sales due to a school field trip. Intern B removed those outlier points and redrew the line. Intern C drew a curve instead of a straight line to better match the data pattern. Which intern’s method most accurately supports predicting future sales based on temperature, and what should be considered when choosing the model?
A) Intern A, because including all data gives the truest representation of the trend
B) Intern B, because outliers may skew the model, and the goal is prediction under normal conditions
C) Intern C, because a curve always fits better than a line in real-world data
D) None of the interns used an appropriate strategy for modeling the data
Correct answer: B
Grade: 8 | Topic: Statistics and Probability | Difficulty: Hard | Standard: 8. SP. A. 1