(Solved): After conducting a linear regression analysis, you have obtained the two tables below: \table[[Model ...

After conducting a linear regression analysis, you have obtained the two tables below: \table[[Model 1],[Observed Value of Y,Predicted value of Y],[47,45],[51,53],[68,67],[70,72],[75,80]] \table[[Model 2],[Observed Value of Y,Predicted value of Y],[46,45],[55,53],[65,67],[67,72],[84,80]] a) Compute the RMS error for each of the two models and show your work b) Which of the two models would you prefer to use in order to predict values of Y? Explain your answer.