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    Regression Model

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    1. Qeach brand t=β0+β1*PMinute Maid t+β2*PTropicana t+β3*PPrivate label t+ueach brand t Q: quantity P: price By running the above regression model for each brand‚ we got the following elasticity matrix and the figures for “V” and “C.” Note that we used the average price and quantity for P and Q to calculate each brand’s elasticity. Price Elasticity | Tropicana | Minute Maid | Private Label | Tropicana | -3.4620441 | 0.40596537 | 0.392997566 | Minute Maid | 1.8023329 | -4.26820251 | 0.765331803

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    Regression Model

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    de schattingen van de parameters beïnvloeden‚ het wordt dan onduidelijk of deze parameters zuiver zijn. 2.2 Monte Carlosimulatie Om te onderzoeken in hoeverre autocorrelatie invloed heeft op het lineaire regressiemodel wordt er een model gecreëerd. Dit model bevat een onafhankelijke variabele (X) en een afhankelijke variabele (Y)‚ het Monte Carlosimulatiemodel wordt hierop toegepast (Dougherty‚ 2002‚ p.72). Met Monte Carlosimulatie als toepassing wordt als eerste voor het lineaire regressiemodel

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    The simple regression model (SRM) is model for association in the population between an explanatory variable X and response Y. The SRM states that these averages align on a line with intercept β0 and slope β1: µy|x = E(Y|X = x) = β0 + β1x Deviation from the Mean The deviation of observed responses around the conditional means µy|x are called errors (ε). The error’s equation: ε = y - µy|x Errors can be positive or negative‚ depending on whether data lie above (positive) or below the conditional

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    Multiple Regression Model

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    Project: Multiple Regression Model Introduction     Today’s stock market offers as many opportunities for investors to raise money as jeopardies to lose it because market depends on different factors‚ such as overall observed country’s performance‚ foreign countries’ performance‚ and unexpected events. One of the most important stock market indexes is Standard & Poor’s 500 (S&P 500) as it comprises the 500 largest American companies across various industries and sectors. Many people put

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    Tobit Regression Model

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    empirical results of microfinance and poverty reduction through the Tobit regression method of analysis. For this study to evaluate the influence of microfinance on the poverty reduction‚ Tobit regression model was regressed on the poverty reduction‚ on the key variables in this study. These include micro-credit‚ age‚ household size‚ qualification‚ nature of business‚ duration of membership and village type. In this model‚ poverty reduction is a dummy and is considered as the dependent variable‚

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    Linear Regression Model

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    Due in class Feb 6                                                                   UCI ID_____________________________    Multiple­Choice Questions (Choose the best answer‚ and briefly explain your  reasoning.)     1. Assume we have a simple linear regression model:    . Given a random sample from the population‚ which of  the following statement is true?    a. OLS estimators are biased when BMI do not vary much in the sample.  b. OLS estimators are biased when the sample size is small (say 20 observations)

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    Car Industry

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    A REPORT ON Analysis of Car Industry in India on the Basis of Consumer Preferences By: Chirag Pahuja A Report on: Analysis of Car Industry in India on the Basis of Consumer Preferences By: Chirag Pahuja 07BS1104 A Report submitted in partial fulfillment of the requirement of MBA Program of ICFAI BUSINESS SCHOOL Faculty Guide: Prof. Sreeja Bhattacharya ACKNOWLEDGEMENT It has been a great pleasure for me to work on this project. My sincere thanks

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    Car Industry

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    Car Industry Porters 5 Force Porter (1980) illustrates in this analytical tool 5 variables that determine the attractiveness of an industry for organisations in terms of profitability in their immediate environment. Using the forces in this model we can analyse how attractive the global car industry is to enter‚ the 5 forces are as follows. The threat of potential new entrants High barriers to entry is one of the determinants of whether a firm can enter into the industry or not‚ the

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    car industry

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    2(February 2012) ISSN: 2250-057X CAR MARKET AND BUYING BEHAVIOR- A STUDY OF CONSUMER PERCEPTION Nikhil Monga Assistant Professor & HOD‚ Department of Management Studies‚ Phonics Group of Institutions‚ Roorkee Dr. Bhuvnender Chaudhary Dean‚ Phonics Group of Institution‚ Roorkee Saurabh Tripathi Assistant Professor‚ Department of Management Studies‚ Phonics Group of Institutions‚ Roorkee ABSTRACT The automobile industry today is the most lucrative industry. Due to the increase in disposable

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    considers the relationship between two variables in two ways: (1) by using regression analysis and (2) by computing the correlation coefficient. By using the regression model‚ we can evaluate the magnitude of change in one variable due to a certain change in another variable. For example‚ an economist can estimate the amount of change in food expenditure due to a certain change in the income of a household by using the regression model. A sociologist may want to estimate the increase in the crime rate due

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