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Over the past few years, there has been a strong positive correlation between the annual consumption of diet soda drinks and the number of traffic accidents.(b) What lurking variables might be causing the increase in one or both of the variables? Explain your answer.

Question

Over the past few years, there has been a strong positive correlation between the annual consumption of diet soda drinks and the number of traffic accidents.

(b) What lurking variables might be causing the increase in one or both of the variables? Explain your answer. 

check_circleAnswer
Step 1

Given information:

Associated variables:

Two variables are associated or related if the value of one variable gives you information about the value of the other variable.

Here, the two variables are annual consumption of diet soda drink and number of traffic accidents.

Given that, there is a strong positive linear association between annual consumption of diet soda drink and number of traffic accidents.

Step 2

Correlation between the variables:

Correlation:

Correlation analysis is used to measure the strength of the association between variables. In other words it can be said that correlation describes the linear associations between quantitative variables.

Here, there is strong positive correlation between the variables annual consumption of diet soda drink and number of traffic accidents.

Step 3

Causation between the variables:

Cause-and-effect:

The cause-and-effect occurs between two groups if the one group makes the changes in another group

Causation:

If one event is the result of the occurrence of other event then the variables of the two events are said to be under causation. In other words it can be said that there exist causal relationship between the two variables.

The correlation between the two variables does not i...

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