In a multilinear regression, state the reason why an independent variable may be found to be statistically insignificant, while in fact there is a clear correlation between that independent variable and the dependent variable?
In multilinear regression, an independent variable may be
found statistically insignificant, but it may happen that the
correlation between the independent variable and the
dependent variable is high. It is because of spurious
correlation. The dependent variable may behave similarly
as the independent variable but the independent variable
may not be able to capture the variation in dependent
variable.
Just for example if we want to predict the computer sales
and we include production of paddy as independent
variable, then the independent variable will not be
significant but there is a high correlation between these
two variables. It is because of the fact that due to
technological improvement both production of paddy and
computer sales improved over the years. So, they are highly
correlated.
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