Answer: Statement A is a correlation, and Statement B is a causation.
Explanation:
Correlation means that there is a statistical relationship between two variables, but it does not imply causation. Whereas, causation implies a cause-and-effect relationship between variables. Now let me explain how our two sentences are- correlation and causation.
Sentence A: The larger a person's shoe size, the higher a person's reading level.
The shoe size and reading level are unconnected in this situation. Due to the fact that both factors tend to rise with age, they could be correlated. The assertion does not, however, imply that having a larger shoe size immediately results in having a better reading level or vice versa.
Statement B: The more car accidents a person is involved in results in the higher rate for car insurance premiums.
Causation is described by this sentence. In this situation, it makes sense to expect that having more auto accidents will result in paying more for insurance. A history of auto accidents suggests a higher chance of future accidents and insurance firms base rate determination on risk assessment. As a result, the cause is the number of auto accidents, and the impact is the rise in insurance rates.