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Question
a study uses statistical methods to conclude that there is an association between the weights of cars and the amounts of fuel consumption. the study then concludes that adding weight to a car is what makes it consume more fuel. what is wrong with reporting the results of the survey this way? (1 point) the conclusion is based on a voluntary response sample. the conclusion is based on a correlation that implies causality. the conclusion is based on a small sample. the conclusion is based on a bad sample.
Just because there is a correlation between car weight and fuel - consumption (an association), it doesn't mean that adding weight causes more fuel - consumption. Correlation does not imply causation. There could be other factors at play.
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The conclusion is based on a correlation that implies causality.