1 of 51 of 5 Items
Question
When can a strong correlation coefficient between two variables imply a cause-and-effect relationship?(1 point)
Responses
When the response variable is controlled and randomly assigned, then a strong correlation implies a cause-and-effect relationship.
When the response variable is controlled and randomly assigned, then a strong correlation implies a cause-and-effect relationship.
Correlation always implies a cause-and-effect relationship.
Correlation always implies a cause-and-effect relationship.
When the explanatory variable is controlled and randomly assigned, then a strong correlation implies a cause-and-effect relation ship.
When the explanatory variable is controlled and randomly assigned, then a strong correlation implies a cause-and-effect relation ship.
Correlation never implies a cause-and-effect relationship.
Correlation never implies a cause-and-effect relationship.
Skip to navigation