Coursework This handout provides information about the module’s second coursework. Below‚ you will find the coursework as well as information about the marking scheme. * The coursework requires you to engage with regression analysis by performing various regressions in Eviews and by commenting on the main results. * The aim of the coursework is to test your ability to handle datasets with the use of a specialist software and to provide critical and informative comments on the outcome of
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Regression Analysis of Pricing of IPL Players | Project Report | | | | | Pricing of Players in the Indian Premier League Executive Summary In the project‚ price for the players in IPL are analysed against various factors. Not all factors drove the price of a player were directly related to their performance on the field‚ whereas there are specific factors which had a direct impact on player’s remuneration. These factors ranged from performance measure of players such as Strike
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Linear Regression & Best Line Analysis Linear regression is used to make predictions about a single value. Linear regression involves discovering the equation for a line that most nearly fits the given data. That linear equation is then used to predict values for the data. A popular method of using the Linear Regression is to construct Linear Regression Channel lines. Developed by Gilbert Raff‚ the channel is constructed by plotting two parallel‚ middle lines above and below a Linear Regression
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淡江大學運輸管理學系 101(2): 2nd Semester‚ 2013 運輸經濟(二) Transportation Economics Assignment #1 Due: March 21‚ 2013 1. (40%) Transportation Demand Analysis Application Background: 新北市「淡水捷運延伸線輕軌運輸系統」，即淡水捷運延伸至淡海新市鎮之輕軌 捷運系統，此線原先由臺北市政府捷運工程局規劃，後來因淡海新市鎮未完全開 發，興建上無迫切性，故該案被裁定暫以公車接駁方式暫行之為佳。目前為配合 內政部營建署調整淡海新市鎮之建設及帶動當地發展，由交通部高速鐵路工程局 重新推動本計劃。目前淡水捷運延伸線可行性研究報告書已經由行政院核定，原 則同意綠山線及藍海線之路網，並優先推動綠山線。高鐵局刻正辦理綜合規劃複 審與環評複審相關作業。 Problem: 針對「淡海輕軌捷運」可行性評估，首要工作為未來的旅運需求分析與預測，試 說明與研擬如何進行淡海輕軌捷運系統的旅運需求分析步驟與架構，須蒐集、調 查或分析哪些因素與資訊？
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Lecture 5: Multivariate Models Financial Time Series‚ Spring 2015 MQF at Rutgers University Heng Sun February 24‚ 2015 1/46 Today’s Topics Vector time series basics VARMA(p‚q) Cointegration References Ruey Tsay‚ Analysis of Financial Time Series‚ Chp 8 Ruey Tsay‚ Multivariate Time Series Analysis 2/46 Vector Time Series Each observation at time t r1t r2t rt = . .. is a column vector in Rk T = [r1t ‚ r2t ‚ · · · ‚ rkt ] rkt Example of vectors of different time series
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Mel Lazo ISDS 7540 – Marketing Analytics Module Dr. Black 7 December 2012 Pilgrim Bank Case Analysis Introduction and Defining the Relationships The business analyst at Pilgrim Bank‚ Alan Green‚ was tasked with guiding the marketing team to a better understanding of customer profitability. With the help of his supervisor and the IT department‚ he has access to an extensive data set of over 30‚000 customers‚ both old and new. Included are continuous variables for Profit‚ Tenure‚ and Satisfaction
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EXPERIMENT NO 2 FACT TABLE FOR UNIVERSITY DATABASE AIM:-Creation of dimension table and fact table for University Database. THEORY:- DIMENSION TABLE In data warehousing‚ a dimension table is one of the set of companion tables to a fact table. The fact table contains business facts or measures and foreign keys which refer to candidate keys (normally primary keys) in the dimension tables. Contrary to fact tables‚ the dimension tables contain descriptive attributes (or fields) which are typically
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H2 H1 Source:Author’s Model Hypotheses The following hypotheses are developed on the basis of the following review of literature: Hypothesis 1: Purpose will be positively related to performance Hypothesis 2: Passion will be positively moderate between purpose and performance. 1st step: Factor Analysis →Purpose Scale HOL 2 DOL 2 BSL 2 HOL 3 DOL 4 BSL 3 HOL 1 DOL 1 BSL 4 HOL 4 DOL 6 BSL 4 HOL 5 DOL 5 BSL 1 HOL 6 DOL 3 BSL 5 Eliminated Items: HOL 7‚ DOL 7‚ BSL 7 →Passion Scale WE
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[8] Chanda‚ Areendam and Louis Putterman (forthcoming). “Early Starts‚ Reversals and Catch-up in the Process of Economic Development”‚ Scandinavian Journal of Economics. [9] Davidson‚ R. and J. G. MacKinnon (1993). “Estimation and Inference in Econometrics”‚ 2nd ed. New York: Oxford University Press. [10] Diamond‚ J. (1997). “Guns‚ Germs and Steel: The Fates of Human Societies.” Norton‚ New York. [11] Easterly‚ W.‚ Levine‚ R. (2003). “Tropics‚ Germs‚ and Crops: How Endowments Influence Economic Development
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EViews 6 User’s Guide I EViews 6 User’s Guide I Copyright © 1994–2007 Quantitative Micro Software‚ LLC All Rights Reserved Printed in the United States of America This software product‚ including program code and manual‚ is copyrighted‚ and all rights are reserved by Quantitative Micro Software‚ LLC. The distribution and sale of this product are intended for the use of the original purchaser only. Except as permitted under the United States Copyright Act of 1976‚ no part of this product may
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