I couldn't understand it

Q3. (20 pts) Consider the following dataset. Month Price Month Price Month Price Month Price Month Price 206 252 215 238 249 250 250 275 292 10 144 20 129 128 165 304 a. Write the estimated least square linear regression model (Yr = b0 + bit). How b0 and b1 are interpreted here? b. Write the estimated least square quadratic regression line? (Yr = b0 + bit + bztz). How b0, b1 and b2 are interpreted here? c. Predict the last 10 data (it = 40,41, ,50) with the both regression models. d. Compare these two approaches by using MAD and RMSE