In the description of the statistical models that relate one variable to the other we used...

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In the description of the statistical models that relate onevariable to the other we used terms that suggest a causalityrelation. One variable was called the "explanatory variable" andthe other was called the "response". One may get the impressionthat the explanatory variable is the cause for the statisticalbehavior of the response. In negation to this interpretation, somesay that all that statistics does is to examine the jointdistribution of the variables, but casuality cannot be inferredfrom the fact that two variables are statistically related.
What do you think? Can statistical reasoning be used inthe determination of causality?
As part of your answer in may be useful to consider a specificsituation where the determination of casuality is required. Can anyof the tools that were discussed in the book be used in ameaningful way to aid in the process of such determination?

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Two or more variables considered to be related in a statisticalcontext if their values change so that as the value of onevariable increases or decreases so does the value of the othervariable although it may be in the opposite direction One of thetwo variables which change according to the other variables Can bein the same direction or different direction is called theresponse and another variable is called the explanatoryvariableCausation indicates that one event isthe result of the occurrence of the other event ie there is acausal relationship between the two events This is also referredto as cause and effect At first we need to elaborate on See Answer

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