The four assumptions are: (i) linearity and additivity of the relationship between dependent and independent variables:

(ii) statistical independence of the errors (in particular, no correlation between consecutive errors in the case of time series data)

(iii) homoscedasticity (constant variance) of the errors

(iv) normality of the error distribution.