Question:

which of the following is a true statement for a regression analysis?

-regression analysis is applied only to a non-linear model

-regression analysis is applied only to a multiplicative model

-regression analysis is applied only to a linear model

-regression analysis is applied only to an exponential model

an experiment with more than one manipulated factor is called

-simple random design

-non-randomized block design

-factorial design

-none of the above

While regression analysis is a useful tool for making budgeting predictions, learning how to become proficient in regression analysis is beyond the scope. But, knowing what regression analysis can do for the budgeting process is important. Write a short paragraph, or two, explaining what you feel regression analysis can provide during the budgeting process.

In Hypothesis Testing the "Null Hypothesis", Ho, assumes and means:

All observed results in regression analysis are the result of systemic causes;

All observed results in the regression analysis are the result of random chance;

Has nothing to do with regression analysis;

None of the above.

19.In Hypothesis testing the "Alternative Hypothesis", H(A), assumes and means:

All observed results in regression analysis are the results of random chance;

Observed results in the regression analysis are the results of systemic causes with random change having limited probability of effecting the results;

Has nothing to do with regression analysis;

All of the above;

While regression analysis is a useful tool for making budgeting predictions, learning how to become proficient in regression analysis is beyond the scope of this class. But, knowing what regression analysis can do for the budgeting process is important. So, after you watch the video, write a short paragraph, or two, explaining what you feel regression analysis can provide during the budgeting proc

Problem 7.4 (10 points) A Markov chain Xo, X1, X2, ... with state space S = {1, 2,3, 4) has the following transition graph: 0.5 0.5 0.5 1 0.5 0.5 0.5 2 0.5 0.5 (a) Provide the transition matrix for the Markov chain. (b) Determine all recurrent and all transient states. (c) Determine all communication classes. Is the Markov chain irreducible? (d) Find the stationary distribution. (e) Can you say something about the limiting distribution of this Markov chain?Consider a Markov chain {Xn, n = 0, 1, . .. } on the state space S = {0, 1, 2}. Suppose that the Markov chain has the transition matrix 0 1 - P = 1 0 0 N/H 1. Show that the state space is irreducible. 2. Show that the Markov chain is periodic. Find the period of the Markov chain. 3. Let h denote a stationary mass of the Markov chain. Find h(x) for all x E S.2. (15 pts) Consider a Markov chain { Xn } with state space S = {0, 1, 2} and transition matrix and transition matrix P = O ON/H HNIH O (1) Let the mapping f : S - S satisfy f(0) = 0 and f(2) = 1 and assume that f(1) + f(2). If Yn = f(Xn), then when is { Yn } a Markov chain? Is { Yn } always a Markov chain? In other words, are functions of Markov chains always Markov chains