Question:

In PS3, you had a quantitative dependent variable (rental price) of a property. You had 3 quantitative independent variables (number of beds, age, and number of blocks away from the ocean) and a qualitative independent variable (rental month: June, July, August). Now, you will collect data of sample size 15 from realtor-related websites such as Zillow.com where the dependent variable will be the price of a house and the independent variables will be number of bed rooms, number of bathrooms, and high school assigned. For that data set, please fit a multiple regression model using JMP or Excel. Post the output for the parameter estimates table of regression model, and the interpretation of slopes ( b 1 , b 2 , b 3 , b4), in usual discussion question. In addition, please submit your data (Excel file) in the assignment folder in d2l. Assume that the regression assumptions are satisfied for now. Hint: For simplicity, I would search "Cumming, Georgia" in the search box on Zillow.com. There are several high schools in Cumming, so I would limit my data to only three high schools (South Forsyth, North Forsyth, and Denmark High School, for example), collect the data, and then conduct the analysis.

AQMF_2019s2_assign4_q.pdf (3: 1 Di, # 2 DI) Probability 5. A 3-state Markov Chain has the following state diagram. 0.2 0.2 0.1 0.5 0.3 0.8 2 0.2 3 0.7 Write down the transition matrix P.5. A 3-state Markov Chain has the following state diagram. 0.2 0.2 0.1 0.5 0.3 0.8 2 3 0.7 0.2 Write down the transition matrix P.A 3-state Markov chain has transition matrix 0.2 0.8 0 P: 0.2 0.5 0.3 0.2 0.6 0.2 If the initial state is X0 = (0, 0, 1) ,find X1 . Enter your answer as a row vector in the form (0.1,0.2,0.3) X1=I 6. A 3-state Markov chain has the following transition matrix: 0.6 0.3 0.17 P = 0.2 0.7 0.1 0.5 0 0.5 Using Xo = (0.6, 0.0, 0.4), find X1 and X2