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. 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, short paragraph, or two, explaining what you feel regression analysis can provide during the budgeting proc

Which of the following is an advantage of multivariate correlational research over bivariate correlational research? O Bivariate correlational studies help address internal validity, whereas multivariate correlational studies do not. Multivariate correlational studies establish covariance, whereas bivariate correlational studies do not. O Some multivariate correlational studies help to address temporal precedence, whereas bivariate correlational studies do not. Multivariate correlational studies help to address external validity, whereas bivariate correlational studies do not.4. Consider the Markov chain X" = {X,} with state space S = {0, 1, 2, ...} and transition probabilities 1 ifj=i-1 Puj = 10 otherwise , for i 2 1 and Poo = 0, Poj = for j > 1. (a) Is this Markov chain irreducible? Determine the period for every state. (b) Is the Markov chain recurrent or transient? Explain. (c) Is the Markov chain positive recurrent? If so, compute the sta- tionary probability distribution. (d) For each state i, what is the expected number of steps to return to state i if the Markov chain X starts at state i? 5. Consider a Markov chain X = {X} with state space S = {0, 1, 2, ...} and transition probability matrix 0 1 0 0 P 0 0 P = O p 0 q 0 0 . . . 0 0 P 0 4 0 Here p > 0, q > 0 and p+q =1. Determine when the chain is positive recurrent and compute its stationary distribution.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]