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    Chapter 6: Multiple Linear Regression Data Mining for Business Intelligence Shmueli‚ Patel & Bruce © Galit Shmueli and Peter Bruce 2010 Topics Explanatory vs. predictive modeling with regression Example: prices of Toyota Corollas Fitting a predictive model Assessing predictive accuracy Selecting a subset of predictors (variable selection) Explanatory Modeling Goal: Explain relationship between predictors (explanatory variables) and target  Familiar use of regression in data analysis 

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    Applied Linear Regression Notes set 1 Jamie DeCoster Department of Psychology University of Alabama 348 Gordon Palmer Hall Box 870348 Tuscaloosa‚ AL 35487-0348 Phone: (205) 348-4431 Fax: (205) 348-8648 September 26‚ 2006 Textbook references refer to Cohen‚ Cohen‚ West‚ & Aiken’s (2003) Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. I would like to thank Angie Maitner and Anne-Marie Leistico for comments made on earlier versions of these notes. If you

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    and the number of construction permits issued at present. Example 2: The demand for new house or automobile is very much affected by the interest rates changed by banks. Regression analysis is one such causal method. It is not limited to locating the straight line of best fit. Types:- 1. Simple (or Bivariate) Regression Analysis: Deals with a Single independent variable that determines the value of a dependent variable. Ft+1 = f (x) t Where Ft+1: the forecast for the next period. This

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    Regression Analysis: A Complete Example This section works out an example that includes all the topics we have discussed so far in this chapter. A complete example of regression analysis. PhotoDisc‚ Inc./Getty Images A random sample of eight drivers insured with a company and having similar auto insurance policies was selected. The following table lists their driving experiences (in years) and monthly auto insurance premiums. Driving Experience (years) Monthly Auto Insurance Premium 5 2 12 9

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    The main purpose of the report is to make a decision for Linear Technology on dividend policy. The report analyzed the impact of changing future dividend policy on the value of the company‚ based on its historical performance‚ financial history and market trends. Linear Technology is a large-scale company which focus on the analog segments within semiconductor industry. It went public in 1986 and announced its dividend policy on 1992. Nowadays‚ under the market environment where dividends are

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    Simple Pendulum Lab Report

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    Student: Pascal BLAISE – Date: 10 December 2009 Supervisor: Mr. FOUCAULT – International School of Pisa “To what extent does the length of the string affect the period of a simple pendulum?” IBDP PHYSICS Internal Assessment – The Simple Pendulum 9  INTRODUCTION The original aim for this invesigation was to “investigate the simple pendulum”. There are many variables one could look into‚ such as displacement‚ angle‚ damping‚ mass of the bob etc. The most interesting variable‚ however‚ is the length

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    Determinants of the Level of Imports Across Countries Presented to: Prof. Angela D. Nalica School of Statistics Faculty University of the Philippines‚ Diliman In Partial Fulfillment of the Requirements of Statistics 136: Regression Analysis Presented by: Mary Ann A. Boter Michael Daniel C. Lucagbo Krystalyn Candy C. Mago April 9‚ 2009 Abstract The level of a country’s imports measures its participation and competitiveness in the international market. As such‚ it

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    Recipe # 1: (one batch) We turned the regular oven on to 375 F. We used two steel bowls‚ one for liquid ingredients and one for dry ingredients. Also‚ we used measuring cups‚ spatulas‚ measuring spoons‚ whisk‚ electric mixer machine. The ingredients we used were all-purpose flour‚ sugar‚ tablespoon vanilla‚ half vegetable oil and half margarine‚ egg‚ little bit salt‚ baking powder.              Next‚ we combined sugar and butter in a bowl‚ and we mixed the ingredients with a hand whisk until there

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    Bivariate Regression

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    Linear Regression Models 1 SPSS for Windows® Intermediate & Advanced Applied Statistics Zayed University Office of Research SPSS for Windows® Workshop Series Presented by Dr. Maher Khelifa Associate Professor Department of Humanities and Social Sciences College of Arts and Sciences © Dr. Maher Khelifa 2 Bi-variate Linear Regression (Simple Linear Regression) © Dr. Maher Khelifa Understanding Bivariate Linear Regression 3  Many statistical indices summarize information about

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    JOHN WILEY & SONS‚ INC. New York / Chichester / Weinheim / Brisbane / Singapore / Toronto Contents Preface 1 Quantitative Methods: Should We Bother? 1.1 Solutions 1.2 Computational supplements 1.2.1 Optimal mix problem Calculus 2.1 Solutions Linear Algebra 3.1 Solutions Descriptive Statistics: On the Way to Elementary Probability 4.1 Solutions Probability Theories 5.1 Solutions 5.2 Additional problems 5.3 Solutions of additional problems Discrete Random Variables 6.1 Solutions vii 1 1 3 3

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