(f) Consider estimating the system using FGLS but imposing the restriction on that cov[u1, u2] =0 (but permitting cov[u₁, u3] # 0). Why might you want to restrict the form of ? Why might you not want to restrict the form of ? Describe your method for estimating and perform the estimation, reporting a table of the parameter estimates, standard errors, and p-values.

(f) Consider estimating the system using FGLS but imposing the restriction on that cov[u1, u2] =0 (but permitting cov[u₁, u3] # 0). Why might you want to restrict the form of ? Why might you not want to restrict the form of ? Describe your method for estimating and perform the estimation, reporting a table of the parameter estimates, standard errors, and p-values.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y-ax+b a=-1,263 b=21.291 12-0.5776 r=-0.76 Use this to predict the number of situps a person who watches 5 hours of TV can do (to one decimal place)
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y).The results of the regression were:y=ax+b a=-0.982 b=31.084 r2=0.471969 r=-0.687 Use this to predict the number of situps a person who watches 13.5 hours of TV can do (to one decimal place)
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-1.328 b=37.715 r?=0.788544 r=-0.888 Use this to predict the number of situps a person who watches 0.5 hours of TV can do (to one decimal place)
Please answer both subparts. I will really upvote. Thanks
Find the new data point (x,y) in which x=2 from the data points (1.3) and (4.12)
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y).The results of the regression were y=ax+b a=-1.324 b=23.586 r2=0.887364 r=-0.942 Use this to predict the number of situps a person who watches 11.5 hours of TV can do (to one decimal place)
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y = a x + b a = -1.043 b = 29.088 %3D %3! r2 = 0.390625 r = -0.625 Use this to predict the number of situps a person who watches 6.5 hours of TV can do. situps : %3D [one decimal accuracy1