Final exam Flashcards
(5 cards)
1
Q
What is the MLR1 assumption?
A
MLR 1 (Linear in parameters). The population model can be written as
π¦ = π½β + π½! π₯! + β― + π½# π₯# + π
2
Q
What is the MLR2 assumption?
A
MLR 2 (Random sampling) A random sample of n observations from the model by MLR1
3
Q
What is the MLR4 assumption?
A
MLR 4. (Zero conditional mean)
πΈ(π|π₯! , β¦ , π₯# ) = 0
4
Q
What is the MLR3 assumption?
A
MLR 3. (No perfect collinearity) No exact linear relationships among independent
variables.
5
Q
What is the MLR5 assumption?
A
MLR 5. (Homoskedasticity)
πππ(π|π₯! , β¦ , π₯# ) = π^2
