Econometrics
Assumptions:
1. The linear regression is linear in parameters which mean that
the independent variables have a linear relationship with the
dependent variables. With the increase or decrease in independent
variables, the dependent variables too increase or decrease
2. The sample selected is random in nature, means there is biased
selection of samples for assessment
3. The conditional mean of error term is zero, means the residual
which are left over from the repression models add up to zero
4. No multi-collinearity: The independent variables are not
influenced by each other and there is no correlation among
themselves
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