Problems on Regression and Correlation Prepared by: Dr. Elias Dabeet Q1. Dr. Green (a pediatrician) wanted to test if there is a correlation between the number of meals consumed by a child per day (X) and the child weight (Y). Included you will find a table containing the information on 5 of the children. Use the table to answer the following: Child Number of meals consumed per day (X) child weight (Y) X² Y² XY Ahmad 11 8 121 64 88 Ali 16 11 256 121 176 Osama 12 9 144 81
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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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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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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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8.1 Solutions 37 37 43 43 47 49 49 57 58 60 62 65 66 67 69 8 Appendix A R – A software tool for statistics Appendix B Introduction to MATLAB B.1 Working with vectors and matrices in the MATLAB environment B.2 MATLAB graphics B.3 Solving equations and computing integrals B.4 Statistics in MATLAB B.5 Using MATLAB to solve linear and quadratic programming problems Appendix C Introduction to AMPL C.1 Running optimization models in AMPL C.2 Mean-variance efficient portfolios in AMPL C.3 The knapsack
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Introduction This presentation on Regression Analysis will relate to a simple regression model. Initially‚ the regression model and the regression equation will be explored. As well‚ there will be a brief look into estimated regression equation. This case study that will be used involves a large Chinese Food restaurant chain. Business Case In this instance‚ the restaurant chain ’s management wants to determine the best locations in which to expand their restaurant business. So far the most
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Algebra I Chapter 5 Study Guide Writing Linear Equations Name ________________ Due: Tuesday‚ January 17 (Exam week) 100 points Writing Linear Equations in a Variety of Forms Using given information about a __________‚ you can write an ________________of the line in _____________ different forms. Complete the chart: Form (Name) Equation • • Important information The slope of the line is ____. The __ - ___________ of the line is _____. The slope of the line is _____. The line
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we have compiled the following list of tips that you should find useful while writing your scholarship essay. 1.Answer the Question. You can follow the next 12 steps‚ but if you miss the question‚ you will not win the scholarship. 2.Be Original.Even seemingly boring essay topics can sound interesting if creatively approached. If writing about a gymnastics competition you trained for‚ do not start your essay: "I worked long hours for many weeks to train for XXX competition." Consider an opening
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2008: H0: The variables will predict whether or not a team will make the playoffs. H1: The variables will not predict whether or not a team will make the playoffs. After running the regressions‚ it’s clear that all of the variables are insignificant at the 5% level. The only one that may have some significance is the rush rank‚ yet even that variable is not a great indicator of whether or not a team will make the playoffs. The relationship between rush rank and making the playoffs is negative
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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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