"Multiple regression analysis" Essays and Research Papers

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    Multicollinearity

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    significant. Causes of multicollinearity • • Improper use of dummy variables (e.g. failure to exclude one category) Including a variable that is computed from other variables in the equation (e.g. family income = husband’s income + wife’s income‚ and the regression includes all 3 income measures) In effect‚ including the same or almost the same variable twice (height in feet and height in

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    Forecasting Methodology

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    Forecasting Methodology Forecasting is an integral part in planning the financial future of any business and allows the company to consider probabilities of current and future trends using existing data and facts. Forecasts are vital to every business organization and for every significant management decision. Forecasting‚ according to Armstrong (2001)‚ is the basis of corporate long-run planning. Many times‚ this unique approach is used not only to provide a baseline‚ but also to offer a prediction

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    Sandwich Generation

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    the “sandwich generation.” Between 1 out of 8 and 1 out of 11 households with an adult aged 30 or older is comprised of dual-earner‚ sandwiched generation couples. There are psychological‚ physical‚ employment‚ and financial outcomes of balancing multiple caregiving duties. The literature shows positive benefits for caregivers too. A review of literature in the past 30 years‚ citing only U.S.based studies is summarized in this paper. Policy‚ clinical‚ and research implications are included. It is

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    rate and real GDP of India during the years 2004 to 2013. This data is on quarterly basis and hence contains over 30 observations. This data is obtained from the Bloomberg Terminal and the website www.rbi.org.in and regression analysis is employed to obtain findings. Upon rigorous analysis it has been found out that Gross Domestic Product at fixed prices of India during the period under study is positively correlated with interest rate as well as with inflation rate trends for the said period. Keywords

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    Brs Mdm3 Tif Ch11

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    following is NOT a qualitative method of forecasting? A) Delphi Method B) Trend Analysis C) Jury of Executive Opinion D) Sales Force Composition E) Consumer Market Survey Answer: B Page Ref: 477 Topic: Types of Forecasts Difficulty: Easy 4) Which of the following is NOT considered to be a Time-Series method of forecasting? A) Simple Linear Regression B) Moving Average C) Exponential Smoothing D) Seasonality Analysis E) Multiplicative/Additive Decomposition Answer: A Page Ref: 477 Topic: Types

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    The CRISP-DM Case Study

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    different kinds of patterns. There are two classes of data mining taxonomy which are predictive and descriptive (Akkaya & Uzar‚ 2011). The data mining tasks that are most apply‚ use and popular are classification‚ association‚ clustering‚ trend analysis and regression (Fu‚ 1997; Gheware et al.‚ 2014). • Classification is the derivation of a function or model which determines the class of an object based on its attributes. A set of objects is given as the training set in which every object is represented

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    Blake Electronics

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    parameters of an equation is called parameter estimation. REGRESSION ANALYSIS Although there are several techniques for estimating parameters‚ the values of the parameters are often obtained by using a technique called regression analysis. Regression analysis uses data on economic variables to determine a mathematical equation that describes the relation between the economic variables. Regression analysis involves both: 1. the estimation of parameter values and

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    Pepsico Economics Case Study

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    years: The economic conditions have finally taken a turn after 5 of years of downward sloping. A turnaround in GDP and a decrease in unemployment rates are generally viewed as a driver for increased revenues. However‚ a multivariate regression analysis of the macroeconomic variables effect on PepsiCo’s US revenues using GDP growth‚ interest rates and unemployment rates as input variables did not have

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    the generality of our findings. KEY WORDS : marketing Customer satisfaction‚ multi-channel marketing‚ channel integration‚ industrial Introduction With the progressive development of information technologies‚ customers are being offered multiple channels through which to engage with

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    is aimed at analyzing the impact of dividend policy of shareholders’ wealth in Organic and Inorganic Chemical Companies in India during 1996 – 1997 to 2005-2006. To measure the impact of dividend policy on shareholders’ wealth multiple regression method and stepwise regression models are used by taking DPSit (Dividend per Share)‚ RE it (Retained Earnings per Share)‚ Pet-1 (Lagged Price Earning Ratio) and MPSit-1 (Lagged Market Price) (MVit-1) as independent variable‚ and MPSit (Market Price Per Share)

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