Discuss three reasons why a regression model can never fully capture the true relationships of the population.
When the relationship between independent and dependent variable
are linear, regression provide a very good model. But not all the
things in this world follow linear relationship. In this case it
will be difficult to capture the true relationship of the
population.
The regression model is easily affected by outliers in the data. If
there are outliers in the data the coefficient of regression are
inflated and which in turns affect the prediction made by the
model. This is one of the reason why regression can never fully
capture the true relationships of the population.
Regression easily gets overfitted such that the regression begins
to model the random error (noise) in the data, rather than just the
relationship between the variables. This most commonly arises when
you have too many parameters compared to the number of samples.
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