Given the following matrix of transition probabilities, find the equilibrium states. (Please see attached image I need an answer with with explanation/workbook) For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac).
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(Please see attached image I need an answer with with explanation/workbook)
| For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac). |
![Given the following matrix of transition probabilities, find the equilibrium states.
[0.8 0.2]
0.4 0.6
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- Indicate why the give method for running a simulation is not accurate.A bag contains 4 red marbles, 4 blue marbles, 6 yellow marbles, and 6 green marbles. If marbles are drawn one-by-one and not replaced, use 0-1 to represent a red marble, 2-3 to represent blue, 4-6 for yellow, and 7-9 to represent a green marble.a.State the predictors available in this model.Let x1 and x2 be the payoffs of two investment
- The following table was generated from the sample data of 1010 junior high students regarding the average number of hours they are unsupervised per night, the average number of hours they play video games per night, and their final grades in their math class. The dependent variable is the final grade, the first independent variable (x1x1) is the number of hours unsupervised each night, and the second independent variable (x2x2) is the number of hours of video games each night. Coefficients Standard Error t-Stat p-value Intercept 64.49590764.495907 5.9533305.953330 10.83358510.833585 0.0000370.000037 Hours Unsupervised −0.974079−0.974079 1.1097971.109797 −0.877709−0.877709 0.4138620.413862 Hours Playing Video Games 4.9768084.976808 1.0636721.063672 4.6788924.678892 0.0034000.003400 Step 1 of 2: Write the multiple regression equation for the computer output given. Round your answers to three decimal places. Step 2 of 2: Indicate if any of the independent variables…The following table was generated from the sample data of 1010 junior high students regarding the average number of hours they are unsupervised per night, the average number of hours they play video games per night, and their final grades in their math class. The dependent variable is the final grade, the first independent variable (x1x1) is the number of hours unsupervised each night, and the second independent variable (x2x2) is the number of hours of video games each night. Coefficients Standard Error t-Stat p-value Intercept 57.968435 7.227955 8.020032 0.000201 Hours Unsupervised 5.131630 1.314283 3.904510 0.007943 Hours Playing Video Games 1.067855 1.615039 0.661194 0.533040 Write the multiple regression equation for the computer output given. Round your answers to three decimal places.The following table was generated from the sample data of 1010 junior high students regarding the average number of hours they are unsupervised per night, the average number of hours they play video games per night, and their final grades in their math class. The dependent variable is the final grade, the first independent variable (x1x1) is the number of hours unsupervised each night, and the second independent variable (x2x2) is the number of hours of video games each night. Coefficients Standard Error t-Stat p-value Intercept 57.968435 7.227955 8.020032 0.000201 Hours Unsupervised 5.131630 1.314283 3.904510 0.007943 Hours Playing Video Games 1.067855 1.615039 0.661194 0.533040 Indicate if any of the independent variables could be eliminated at the
- The following table was generated from the sample data of 1010 junior high students regarding the average number of hours they are unsupervised per night, the average number of hours they play video games per night, and their final grades in their math class. The dependent variable is the final grade, the first independent variable (x1x1) is the number of hours unsupervised each night, and the second independent variable (x2x2) is the number of hours of video games each night. Intercept 64.821745 4.918050 13.180375 0.000012 Hours Unsupervised -1.691108 1.396989 -1.210538 0.271590 Hours Playing Video Games 6.796882 1.515248 4.485657 0.004167 Step 1 of 2: Write the multiple regression equation for the computer output given. Round your answers to three decimal places. Step 2 of 2: Indicate if any of the independent variables could be eliminated at the 0.050.05 level of significance.In a study of the influence of financial institutions on bond interest rates in a certain country, quarterly data over a period of 12 years were analyzed. The postulated model was y¡ = Bo + B₁×₁¡ + B₂X2; + &¡, where y; is the change over the quarter in the bond interest rates, X₁₁ is the change over the quarter in bond purchases by financial institutions, and X2i is the change over the quarter in bond sales by financial institutions. The estimated regression coefficients are b₁ = 0.057 and b₂ = -0.033. Interpret these estimates. What is the correct interpretation of the coefficient estimates? Select the correct choice below and, if necessary, fill in the answer boxes within your choice. A. Each percent increase in the bond interest rates leads to a change in the estimated amount of bonds purchased by financial institutions by and a decrease in bond sales by financial institutions by. B. Each additional bond purchased by financial institutions leads to a change in the estimated bond…Give the matrix representing the relation in the previous problem. Label the rows and columns.