Asked by Brianna Elizabeth on Jul 12, 2024

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A reporter studied the causes of a fire to a house,and established a strong positive association between the damages  (in dollars)  \text { (in dollars) } (in dollars)   and the number of firefighters at the scene.Describe three different possible cause-and-effect relationships that might be present.

A) Perhaps the damages cause more firefighters at the scene,firefighters cause more damages at the scene,or both could be caused by a lurking variable such as the type of the building.
B) There is only one cause-and-effect relationship: firefighters cause more damages at the scene.
C) There are only two cause-and-effect relationships: damages cause more firefighters at the scene,or firefighters cause more damages at the scene.
D) There is only one cause-and-effect relationship: the damages cause more firefighters at the scene.
E) Perhaps the damages cause more firefighters at the scene,firefighters cause more damages at the scene ,or both could be caused by a lurking variable such as the size of the blaze.

Cause-and-Effect

A relationship where one event (the cause) leads to the occurrence of another event (the effect).

Lurking Variable

A variable that is not directly studied yet influences the relationship between the independent and dependent variables under investigation.

Positive Association

A relationship between two variables where both variables move in the same direction.

  • Recognize different possible cause-and-effect relationships in a given scenario.
  • Apply statistical reasoning to assess associations between variables in studies.
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Sherin SebastianJul 17, 2024
Final Answer :
E
Explanation :
It is possible that the damages could cause more firefighters to be called to the scene, or that the number of firefighters could cause more damages to the property in the course of fighting the fire. However, the relationship between the two could also be influenced by a lurking variable, such as the size of the blaze. Therefore, option E is the best choice as it acknowledges the possibility of multiple cause-and-effect relationships, as well as a lurking variable.