2. (30%) Trip Generation Model 下列為針對淡水區進行的旅次產生調查，共分為 6 個交通分區(traffic zone)： Zone Trip production Car ownership 1 650 250 2 450 190 3 950 715 4 850 625 5 750 290 6 290 135 (1) 試建立一線性迴歸函數(linear regression model)，進行參數校估，列出校估後之函 數，並計算模式之 R2、透過 t 檢定(t-test)檢驗顯著性。 (2) 試建立一對數線性迴歸函數(log-linear regression model) (即乘冪迴歸模式) 進行參 ， 2 數校估，列出校估後之函數，並計算模式之 R 、透過 t 檢定(t-test)檢驗顯著性。 (3) 比較上述兩個模式之差異，討論孰優孰劣。 共 2 頁 第 1 頁 3. (30%) Mode Choice Model 考慮旅運者對三種運具的(負)效用函數： COSTk U k ak 0.3OVTk 0.15IVTk
Premium Regression analysis Econometrics Mode choice
LINEAR REGRESSION MODELS W4315 HOMEWORK 2 ANSWERS February 15‚ 2010 Instructor: Frank Wood 1. (20 points) In the file ”problem1.txt”(accessible on professor’s website)‚ there are 500 pairs of data‚ where the first column is X and the second column is Y. The regression model is Y = β0 + β1 X + a. Draw 20 pairs of data randomly from this population of size 500. Use MATLAB to run a regression model specified as above and keep record of the estimations of both β0 and β1 . Do this 200 times. Thus you
Premium Regression analysis Linear regression
Demand Forecasting Problems Simple Regression a) RCB manufacturers black & white television sets for overseas markets. Annual exports in thousands of units are tabulated below for the past 6 years. Given the long term decline in exports‚ forecast the expected number of units to be exported next year. |Year |Exports |Year |Exports | |1 |33 |4 |26
Premium Regression analysis Errors and residuals in statistics Forecasting
The policy chosen in this portfolio is “The Social Housing Strategy 2020: Support‚ Supply and Reform”. The Social Housing Strategy sets out to help those who are in need of assistance in providing themselves with a home which they is secure‚ comfortable and an appropriate place to bring up a family. The Social Housing Strategy 2020 sets out a clear‚ carefully organised plan that aim is to prioritise the provision of social housing out to the year 2020. The overall aim for the strategy is that every
Premium Public housing Unemployment Real estate
Chap 13 44 1.4 100 1.3 110 1.3 110 0.8 85 1.2 105 1.2 105 1.1 120 0.9 75 1.4 80 1.1 70 1.0 105 1.1 95 A sample of 12 homes sold last week in St. Paul‚ Minnesota‚ is selected. Can we conclude that‚ as the size of the home (reported below in thousands of square feet) increases‚ the selling price (reported in $ thousands) also increases? * Compute the coefficient of correlation. * = [12(1344) – (13.8)(1160)]/12(16.26) – (13.8)2][12(114850)
Premium Regression analysis Statistical hypothesis testing Pearson product-moment correlation coefficient
The methodology of this study is use Augmented Dickey Fuller (ADF) test statistic to determine whether the variables had been used are stationary or non-stationary. Vector Auto Regression (VAR) method is apply in this study. The advantages of VAR is time series can be exhibited at the same time. The VAR methodology is revises for autocorrelation and endogeneity parametrically using vector error correction model (VECM) specification. Base on Johansen (1988; 1995)‚ the benefit of VECM is that it prevents
Premium Statistics Regression analysis Scientific method
Brian Harrington EC 101-D Section 8 Housing vouchers provide low income families with alternative housing assistance. The program is regulated by the Federal Dept of Housing and Urban Development (HUD). It is good that programs like this exist versus having rent ceilings put into place. If there were rent ceilings‚ assuming that they were very low‚ there would be a huge shortage on the supply of housing while there is also a huge demand. This would create a problem because people with little income
Premium Affordable housing Money Public housing
ESSAYS ON POVERTY‚ MICROFINANCE AND LABOR ECONOMICS by SANDARADURA INDUNIL UDAYANGA DE SILVA‚ B.Sc.‚ M.A. A DISSERTATION IN ECONOMICS Submitted to the Graduate Faculty of Texas Tech University in Partial Fulfillment of the Requirements for the Degree of DOCTOR OF PHILOSOPHY Approved Masha Rahnama Chairperson of the Committee Thomas Steinmeier Robert McComb Accepted John Borrelli Dean of the Graduate School August‚ 2006 Copyright 2006‚ Sandaradura Indunil Udayanga De Silva ACKNOWLEDGEMENTS
Premium Regression analysis Poverty Household income in the United States
SINGLE BUILDING VS HOUSING COMPLEX CONSUMER BEHAVIOR SHRUSHTI MASKE DIVYA SHARMA PRASHANT SATYAM VIJAY RAJ RATNAKUMAR ALISHA NAREKULI INTRODUCTION SINGLE BUILDINGS An apartment building is a multi-unit dwelling made up of several (generally four or more) apartments. Contrast this with the two-family house and the three-family dwelling. Property Classes In every community there are several types of multi-family housing ‚ properties are typically put into one of four
Premium Real estate Apartment Condominium
LE 4000 LOW-COST FLAT HOUSING DESIGN SCHEME BY: AHMAD HANIEF B. SHAMSUDIN 0535017 KULLIYYAH OF ARCHITECTURE & ENVIRONMENTAL DESIGN (KAED) MDM ROSNANI KASSIM SECTION 23 INTERNATIONAL ISLAMIC UNIVERSITY MALAYSIA (IIUM) 24 MARCH 2009 RUNNING HEAD: LOW-COST FLAT HOUSING DESIGN SCHEME Low-Cost Flat Housing Design Scheme Ahmad Hanief Shamsudin International Islamic University Malaysia (IIUM) Abstract The low-cost housing has become a significant issue
Premium Public housing Affordable housing House