True or False and why

1.The variability due to error (SSE) is always smaller than the variation explained by the model (SSModel).

2.If the size of the typical error increases, then the prediction interval for a new observation becomes narrower.

3. For the same value of the predictor, the 95% prediction interval for a new observation is always wider than the 95% confidence interval for the mean response.

4.If the correlation between X1 and Y is greater (in magnitude) than the correlation between X2

Problem 7.4 (10 points) A Markov chain X0,X1,X2,. . . with state space S = {1,21 3,4} has the following transition graph: (3) Provide the transition matrix for the Markov chain. (b) Determine all recurrent and all transient states. State-space equation of a linear autonomous system are given below -5/3 4/3 a x ( t ) = - 1/ 3 0 7/3 O - 2 a ) find the eat state transition matrix of system by the Lapalace transform b ) find the At state transition matrix of system with the Cayley - Hamilton Theorem ( ) find the efit state transition matrix of system using eigenvectorsTime left 1:16:39 Question 18 A continuous-time Markov chain (CTMC) has the following O = (q, ) matrix (all rates are transition/second) Not yet answered Marked out of 0 18 63 0 2.00 17 0 41 0 0 = (q)) = Flag 21 0 0 94 question 0 0 5 0 Is this CTMC a Birth-Death process? ONo, it is not birth-death process OYes, it is birth-death process Previous page Next page