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It depends on the relationship, if any, between the independent and dependent variables.
Least Squares method
In statistics, regression analysis is a statistical process for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables.
i am not sure. it seems that casual relationship compares between to things where there is no relationship and no sense. just is. on the other hand, an actual relationship does make sense. both these phrases mean the the same thing: comparing 2 different independent and dependent variables. it's just that casual relationship is inconsistent and makes no sense.
It can tell you how the dependent variable (usually represented on the y-axis) changes in relation (and hence the rate of change) to the independent varaible (usually represented on the x-axis).