Credits 3 Prerequisites EPSE 482 and EPSE 481 Instructor Dr. Amery Wu Course Correspondence email at amery.wu@ubc.ca Office Hours By appointment via email Textbook Cohen‚ J.‚ Cohen‚ P.‚ & Stephen‚ G. West‚ and Leona S. Aiken (2003). Applied multiple regression/correlation analysis for the behavioral sciences (Third Edition) ISBN: 978-0805822236 Other Support The Department of ECPS provides methodology support to its students who are taking quantitative research-related courses or who need quantitative
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Social Movements Maria Anderson BUS610: Organizational Behavior Instructor: Dr. Leo Smith May 15‚ 2012 Social Movements What type of People Tend to Become Involved in Movements Social movements are a type of group action. They are a large group of people that gather together to express their concerns or opinions mainly on a specific subject or idea. Historians found that the people that tend to become involved in movements are people that find interest in the specific movement (Gerlach and
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The appearances and foundation of Waknuk society and the telepaths may be similar‚ but the lethality of their mentalities can differ greatly. Both groups were born in Waknuk and lived almost identically. They went to the same schools‚ read the same books‚ and were taught the same image of God. However‚ as the people of Waknuk and the telepaths aged‚ their mentalities changed drastically as well. Even with the same foundation‚ the telepaths and the people of Waknuk differ in terms of their beliefs
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hypothesis was there is no relationship between hydroelectric power and wind power. Our alternative hypothesis is there is a relationship between hydroelectric power and wind power. We started by finding the regression analysis for hydroelectric conventional versus wind power. The regression equation that we had was hydroelectric conventional= 5631695 + 4.74 wind. There was 23 cases used and 28 cases contain missing values and we got a p value of .183. We achieved a r-squared of 8.3% which is far
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MULTICOLLINEARITY One problem that can arise in multiple regression analysis is multicollinearity. Multicollinearity is when two or more of the independent variables of a multiple regression model are highly correlated. Technically‚ if two of the independent variables are correlated‚ we have collinearity; when three or more independent variables are correlated‚ we have multicollinearity. However‚ the two terms are frequently used interchangeably. The reality of business research is that most of
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which as a result is costing money in terms of what our company could be making. First we could be wasting much valuable time in trying to figure out what values to use for price‚ advertising expenditures‚ and personal expenditures‚ when a simple regression analysis of our demand model could tell us if any of those factors actually have an effect on our profits at all‚ and how much those factors affect our business. Second we could be use the data to optimize our profits resulting in more money. Our
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The Walt Disney Company: Time Series Forecasting Introduction: The Walt Disney Company is known to be the worlds most admired entertainment company. It has recently decided to open up a new Pixar themed park in California. In order to do so‚ the company will need to assure their bank that it is capable of paying back loans in the future as well as reassuring owners and investors that they will not lose any money in the future. In order for Walt Disney
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14-10-12 下午1:09 ECON-3740 Introduction to Econometrics - Fall‚ 2014 Instructor: D Prescott Due date: Thursday‚ 16 October‚ 3pm Submit Reports to D Prescott’s Office‚ Room 733 MacKinnon Report #1 - Instructions. No reports will be accepted after the deadline. Please submit what you have completed by the deadline. See the course web page for additional information on programming and spreadsheet hints. BE SURE TO USE THE DATA SET ASSIGNED TO YOU Grades will be assigned to each section. The
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increase or decrease as a result of an economic expansion or contraction. 3. Specify the components of a regression model that can be used to estimate a demand equation. 4. Interpret the regression results (i.e.‚ explain the quantitative impact that changes in the determinants have on the quantity demanded). 5. Explain the meaning of R2. 6. Evaluate the statistical significance of the regression coefficients using the t-test and the statistical significance of R2 using the F-test. Introduction: An
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CHAPTER 14—SIMPLE LINEAR REGRESSION MULTIPLE CHOICE 1. value of a. b. c. d. ANS: A 2. a. b. c. d. ANS: A 3. correlation a. b. c. d. ANS: C 4. a. b. c. d. ANS: D 5. The mathematical equation relating the independent variable to the expected value of the dependent variable; that is‚ E(y) = β0 + β1x‚ is known as a. regression equation b. correlation equation c. estimated regression equation d. regression model ANS: A 6. a. b. c. d. ANS: C 7. a. b. c. d. In regression analysis‚ the unbiased estimate
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