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

Consider the following Markov chain with the following transition diagram on states {1, 2, 3} al- 2 CO 173 3 (a) Is this Markov chain irreducible? [1 marks] (b) Find the probability of the Markov chain to move to state 3 after two time steps, providing it starts in state 2. [3 marks]Problem 3. Consider the Markov chain shown in Figure 2. Figure 2: Problem 3 Markov chain 1. Let the initial distribution be Pr(A) : Pr(B) = 0.5. What is the probability distribution after one step? 2. What is the stationary distribution of the Markov chain? 2. Markov chain transitions P = [P/j] = Al- AI- NI- Al- NI- AI- NI- AI- Al- Let X1 be distributed uniformly over the states {0, 1, 2}. Let (Xill be a Markov chain with transition matrix P; thus, P(Xn+1=j \\Xn= i) = Pu , i, j E {0, 1, 2}. (a) Is the information source stationary? ~ (b) Find the stationary distribution of the Markov chain (c) Find the entropy rate of the Markov chain