Data is collected on the number of ice cream cones sold in a shop on a certain day and the number of people wearing sunglasses visiting the shop that same day. What type of relationship is most likely to exist between these two variables?
A. positive correlation and causal relationship
B. negative correlation and causal relationship
C. positive correlation but not causal relationship
D. negative correlation but not causal relationship
what is it then
The most likely type of relationship that exists between the number of ice cream cones sold in a shop and the number of people wearing sunglasses visiting the shop is C. positive correlation but not causal relationship. This means that as the number of ice cream cones sold increases, the number of people wearing sunglasses also tends to increase, but one variable does not directly cause the other.
To determine the type of relationship between the number of ice cream cones sold and the number of people wearing sunglasses visiting the shop, we need to understand correlation and causation.
Correlation refers to the statistical relationship between two variables. It measures how the variables move together, either in the same direction (positive correlation) or in the opposite direction (negative correlation). Causation, on the other hand, implies that one variable directly influences or causes a change in the other variable.
In this case, it is likely that the number of ice cream cones sold and the number of people wearing sunglasses visiting the shop have a positive correlation, meaning that as the number of people wearing sunglasses increases, the number of ice cream cones sold also tends to increase. However, it is important to note that correlation does not necessarily imply causation.
Therefore, the most likely answer is C. positive correlation but not causal relationship.
Both might happen together due to a bright hot sun, so there is correlation.
However the glasses do not cause ice cream purchase and the ice cream does not cause sun glasses.