A statistical model predicts a city's electricity demand from the previous day's temperature, fitted as a straight line through some three thousand six hundred daily observations. Engineer Marisol Quijano notes that the model was fitted using data from a decade in which the city had almost no air conditioning, and that air conditioning is now installed in four households out of five. The relationship between temperature and demand in a city with widespread air conditioning is known to be different in kind, not merely in degree: past a threshold the curve bends sharply instead of rising steadily. She concludes that applying the model to the city today ______
Which choice most logically completes the text?
- A) requires only that the model be rescaled to the current population.
- B) is not justified by the data the model was built on. ✓
- C) will systematically underestimate demand on cold days.
- D) shows that temperature no longer affects electricity demand.
Why: The model was fitted on a decade when the city had almost no air conditioning, four households in five now have it, and the temperature-demand relationship in an air-conditioned city is different in kind, not merely in degree, so applying the model today "is not justified by the data the model was built on." Answering that it "requires only that the model be rescaled to the current population." offers a fix for a difference of degree, which the text explicitly rules out, and population is not what changed. Answering that it "will systematically underestimate demand on cold days." names a direction and a season the passage never addresses; the curve bends past a heat threshold, not on cold days. Answering that it "shows that temperature no longer affects electricity demand." reverses the point, since a sharply bending curve is a strong temperature effect, not the absence of one.