作业帮英语翻译2.Estimate a hedonicregression for the HousePrices data
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英语翻译
2.Estimate a hedonicregression for the HousePrices data taken from Anglin
and Gen¸cay (1996),which contain prices of houses sold in the city of
Windsor,Canada,duringJuly,August,and September 1987.These data
are also used in thetextbook by Verbeek (2004).
(a) Fit a multiplelinear regression model to the logarithm of the price,
using all remainingvariables as regressors.Experiment with models
containing lot size,number of bathrooms,number of bedrooms,and
stories in logarithmsand in levels,respectively.Which model do you
prefer?
(b) What is the expectedprice of a two-story house of 4,700 sq.ft.with
three bedrooms,twobathrooms,a driveway,no recreational room,a
full finished basement,without gas heating or air conditioning,and
two-car garage,that isnot located in a preferred area?Report also a
prediction interval.
(c) In order todetermine whether the logarithmic transformation of the
dependent variable isreally appropriate,a Box-Cox transformation
might be helpful.Usethe function boxcox() from the package MASS.
What do you conclude?
2.Estimate a hedonicregression for the HousePrices data taken from Anglin
and Gen¸cay (1996),which contain prices of houses sold in the city of
Windsor,Canada,duringJuly,August,and September 1987.These data
are also used in thetextbook by Verbeek (2004).
(a) Fit a multiplelinear regression model to the logarithm of the price,
using all remainingvariables as regressors.Experiment with models
containing lot size,number of bathrooms,number of bedrooms,and
stories in logarithmsand in levels,respectively.Which model do you
prefer?
(b) What is the expectedprice of a two-story house of 4,700 sq.ft.with
three bedrooms,twobathrooms,a driveway,no recreational room,a
full finished basement,without gas heating or air conditioning,and
two-car garage,that isnot located in a preferred area?Report also a
prediction interval.
(c) In order todetermine whether the logarithmic transformation of the
dependent variable isreally appropriate,a Box-Cox transformation
might be helpful.Usethe function boxcox() from the package MASS.
What do you conclude?
(一)符合多元线性回归模型的对数价格,使用所有剩余的变量作为解释变量.试验模型包含很多大小,浴室,卧室,故事在对数和水平,分别.你更喜欢哪个型号?(b4700平方的两层楼预期的价格.英尺的两个浴室三个卧室,车道,没有娱乐的房间,全面完成了地下室,没有燃气供热或空调,和车库,不是位于首选区域?报告还一个预测区间.(c),以确定是否对数变换的因变量是适当的,幂指数分布模型转换可能是有益的.运用boxcox()函数从包质量.你的结论是什么?
英语翻译2.Estimate a hedonicregression for the HousePrices data
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