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1. Linearity: involves the relationship between X and the mean of y
2. Homoscedasticity: in this case, the residual of the variance is the same as any value of X
3. Independence: the observations made are independent of each other.
4. Normality: states that for any value of X that is fixed, Y should be normally distributed.
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