Question
Explain your reasoning. 1. Number of snow plows owned by a city and mitten sales in the city a.) a very weak or no relationship b. a strong relationship that is not a causal relationship c. a causal relationship
Answer
4.6
(299 Votes)
Emerson
Veteran · Tutor for 11 years
Answer
a. a very weak or no relationship
Explanation
The question seems to revolve around understanding the relationship between two variables: the number of snow plows owned by a city and mitten sales in the same city. The relationship between these two variables is analyzed based on their correlation and causation.1. **Correlation**: This refers to any statistical relationship, whether causal or not, between two random variables or bivariate data. In the context of the number of snow plows and mitten sales, while both are related to winter or cold weather, they do not directly influence each other. The purchase of mittens is influenced by the cold weather, and similarly, the use of snow plows is also a response to snowfall. However, the purchase of mittens does not influence how many snow plows a city might own and vice versa.2. **Causation**: This implies that one event is the result of the occurrence of the other event; i.e., there is a causal relationship between the two events. In this scenario, there is no direct causal relationship between the number of snow plows a city owns and the sales of mittens. One does not cause the other to happen. Considering these aspects, the relationship between the number of snow plows and mitten sales would be best described as coincidental or correlating due to a common cause (winter season) but not directly influencing each other. Hence, the relationship is neither strong nor causal. Therefore, the most appropriate answer is that there is a very weak or no relationship between the number of snow plows owned by a city and mitten sales in the city. This is because the two variables do not directly influence each other, and any correlation between them is more likely due to them both being related to the broader context of winter weather, rather than to each other directly.