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    2121 unit information

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    ETF2121/ETF5912 Data Analysis in Business Unit Information – Semester 1 2014 Coordinator and Lecturer - Weeks 7-12: Associate Professor Ann Maharaj Office: H5.86 Phone: (990)32236 Email: ann.maharaj@monash.edu Lecturer - Weeks 1-6: Mr Bruce Stephens Office: H5.64 Phone: (990)32062 Email: bruce.stephens@monash.edu Unit material: No prescribed textbook Unit Book: available on the Moodle site. Exercises: available on the Moodle site. Software: EXCEL. Recommended Reference Books Berenson

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    The data gained from employees of a textile enterprise in Tekirdag are analyzed by using factor analysis (Principal Components with Varimax Rotation) and a regression model. As a result‚ economics tools by employee is positively and significantly (p=0.001) related to the level of motivation increase perceived by the employee. Second regression model plays an important role in determining the level of job satisfaction except economic and psychosocial tools and has a positive effect on increasing employee

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    ME Individual 1

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    a) Using any computer software‚ perform regression analysis from the data in the Table. The following is the regression analysis on data given by using Microsoft Excel: Regression Statistics Multiple R 0.986557829 R Square 0.973296349 Adjusted R Square 0.968845741 Standard Error 184.7121318 Observations 15 ANOVA   df SS MS F Significance F Regression 2 14922670.21 7461335 218.68838 0.00000000036260 Residual 12 409422.8596 34118.6

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    Delta Song Case Analysis

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    cost function for only two periods‚ meaning it is less accurate. Simple Regression Using simpler regression to estimate the salary cost with available ton miles as the cost driver. These are the results: Coefficients Intercept X Variable 1 -682.643 0.551693 Standard deviation 282.6033 0.79698 Salary= 0.5517x available ton miles- 682.63 R2=0.5577‚ and the coefficients are larger than the deviations so it is valid. Regression analysis is more reliable at measuring cost behavior than other measurement

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    Women Empowerment

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    developing countries. Since empowerment is considered a multidimensional concept‚ it is determined by many socio-economic factors and cultural norms. In this paper‚ an attempt is made to explore the possible determinants of women empowerment using regression analysis based on primary data from a district of Southern Punjab. Considering its multidimensional nature and aspects‚ a cumulative index for women empowerment is constructed using four indices i.e. personal autonomy‚ family decision making‚ domestic

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    NAME: RANJEETA BHATTACHARYA SUBJECT: ADVANCED ECONOMETRICS TERM PAPER COURSE INSTRUCTOR: PROF. K.L.KRISHNA TOPIC: THE BIRTH RATE AND ECONOMIC DEVELOPMENT: AN EMPIRICAL STUDY OF DEVELOPING COUNTRIES SUBMISSION DATA: 17/11/2010 INTRODUCTION The birth rate has long interested economists as well as demographers. In recent years the emphasis of research by the members of both professions has been on the facts and their consequences for economic welfare. It has been agreed almost by every observer

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    Solution

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    etc. He got the data from last 1600 surgeries held in a local hospital and applied an analysis. He got the following result Identification: It is binary logistic regression (LOIGT) Coding 0 = Death 1 = Alive The two post-operative status of the patients are death and alive coded by 0 and 1 respectively to use in binary logistic regression. Hosmer and Lemshow goodness of fit test sig value = 0.896 The analysis is fitted that means the analysis is compatible with the data and the logit model is expected

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    Cost Analysis of Coca Cola

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    PepsiCo Inc. History The origin of PepsiCo Inc. began with its namesake beverage‚ Pepsi-Cola‚ invented by a pharmacist named Caleb Bradham in 1898 in New Bern‚ North Carolina. With its main ingredients pepsin and kola nuts‚ Pepsi-Cola offered a refreshing drink that was healthy and capable of aiding in digestion brought about by the pepsin enzyme found in the soda. Well received by the public‚ Pepsi Cola was soon patented in 1902 and was readily available throughout 24 states in America by 1910

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    Forecasting  model  for  dry  bulk  sea  freight   Facilitating  Lantmännen  to  make  better  procurement  decisions   Frans  Kaltea   Joel  Odland     Division  of  Engineering  Logistics   Faculty  of  Engineering   Box  118   SE  221  00  Lund‚  Sweden     This  article  is  a  summary  of  a  master  thesis  written  at  the  Division  of  Engineering

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    Simple Pendulum Lab

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    PCS125 Lab – The Simple Pendulum Objective and Background Objective: The Objective of this experiment is to examine the simple harmonic motion and to determine the value of the acceleration due to gravity from the analysis of the period of the simple pendulum. [1] Background: There are three equations that will be used to calculate the period of motion of the simple pendulum. They are the slope of the line of the graph of T² against L‚ and the gravity of the pendulum motion. The period of

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