explain without using any the difference between AR MA and ARMA

Question 7. Use the data in RENTAL for this exercise. The data on rental prices and other variables for college towns are for the years 1980 and 1990. The idea is to see whether a stronger presence of students affects rental rates. Let rent be the average monthly rent paid on rental units in a college town in the United States. The unobserved effects model is log(rent;t) = Bo +80790, + Balog(popie) + Bzlog(avgincit) + B3pctstuit + \i + Eit where pop is city population, avginc is average income, and petstu is student population as a percentage of city population (during the school year). (i) (ii) (iii) Estimate the equation by pooled OLS and report the results in standard form. What do you make of the estimate on the 1990 dummy variable? What do you get for Bpctstu? Are the standard errors you report in part (i) valid? Explain. Now, use the least square dummy variable model (LSDV) and compare your estimate of Bpctstu with that from part (i). Does the relative size of the student population appear to affect rental prices? Estimate the model by fixed effects to verify that you get identical estimates and standard errors to those in part (iii). (iv)