Final answer:
Option D is correct, as it suggests that there may be a negative correlation between high temperature and the number of cars sold, but correlation does not imply causation. Understanding correlation and causation is important in data analysis.
Step-by-step explanation:
The question asks about the relationship between the number of cars sold and the high temperature, as depicted in a scatter plot. To answer the question, it's important to understand the concept of correlation in a scatter plot. Correlation indicates the strength and direction of a relationship between two variables. A positive correlation means that as one variable increases, the other also increases, like in the relationship between a person's height and weight. A negative correlation means that as one variable increases, the other decreases. An example of this is the altitude-air density relationship, which has a negative slope, indicating a negative correlation. Finally, no correlation means there is no apparent relationship between the variables, such as shoe size and hours of sleep.
Option D suggests that the high temperature and the number of cars sold may have a negative correlation. However, it also indicates that even if a negative correlation is present, it does not necessarily imply that one variable causes the other to change. This distinction between correlation and causation is crucial in interpreting scatter plots and analyzing data.