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- Show that if A is a normal matrix then each of thefollowing matrices must also be normal. I + A1) Assuming you have a data matrix X that has n rows and p variables and you know both µ and Σ. How is (X- µ)‘Σ-1(X- µ) distributed? 2) Assuming that you don’t know the values of µ and Σ. How is the statistical distance distributed as n-p gets large?Suppose in a scatterplot matrix, you observe that all of the scatterplots associated with the explanatory variables show a strong linear relationship. There are three explanatory variables in the model. Of the following, which is the most valid to do? Remove the response variable. Remove only one of the explanatory variables and keep only two. Remove all of the explanatory variables because they are linearly related to each other and therefore explain the same thing. Remove exactly two of the explanatory variables because they are all linearly related to each other and therefore explain the same thing. We only need to keep one in the model.
- Find the OLS estimators for the parameters using the matrices above.23. Show that if A is a normal matrix, then each of the followingmatrices must also be normal:1. AH2. I + A3. A2Let A be an n × n positive stochastic matrix withdominant eigenvalue λ1 = 1 and linearly independenteigenvectors x1, x2, . . . , xn, and let y0 be aninitial probability vector for a Markov chainy0, y1= Ay0, y2= Ay1, . . . Show that if y0 = c1x1 + c2x2 +· · ·+cnxn then the component c1 in the direction of the positive eigenvector x1 must be nonzero.
- In an office complex of 1110 employees, on any given day some are at work and the rest are absent. It is known that if an employee is at work today, there is an 77% chance that she will be at work tomorrow, and if the employee is absent today, there is a 54% chance that she will be absent tomorrow. Suppose that today there are 854 emplovees at work. Find the steady-state vector. (Note that the sum of the entries must be the total number of employees, but make sure that your answers are correct to at least 1 decimal place.)Show that f(x): Rn -->R is a convex function f(x)=max{ ||APx-b|| , P is a Permutation matrix} A∈Rm*n and b∈RmLet A be a diagonalizable matrix with characteristicpolynomialp(λ) = a1λn + a2λn−1 +· · ·+an+1 Show that p(A) = O.