Regression Analysis Exercises 1- A farmer wanted to find the relationship between the amount of fertilizer used and the yield of corn. He selected seven acres of his land on which he used different amounts of fertilizer to grow corn. The following table gives the amount (in pounds) of fertilizer used and the yield (in bushels) of corn for each of the seven acres. |Fertilizer Used |Yield of Corn | |120
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Topic 8: Multiple Regression Answer a. Scatterplot 120 Game Attendance 100 80 60 40 20 0 0 5‚000 10‚000 15‚000 20‚000 25‚000 Team Win/Loss % There appears to be a positive linear relationship between team win/loss percentage and game attendance. There appears to be a positive linear relationship between opponent win/loss percentage and game attendance. There appears to be a positive linear relationship between games played and game attendance. There does not appear to be any relationship
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Assignment # 1 Forecasting (Total marks: 100) Following 10 Problems are for submission Problem 1: [12] Registration numbers for an accounting seminar over the past 10 weeks are shown below: |Week 1 2 3 4 5 6 7 8 9 10 | |Registrations 24 23 28 30 38 32 36 40 44 40 | a) Starting with week 2 and ending with
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Baseball Magic ---> In the article "Baseball Magic" by George Gmelch‚ it talks about how players and their rituals they perform before a game. The whole idea is to show how two different cultures‚ American Baseball and the Trobriand Islanders both have the same idea. That idea being that if you change your way of doing something it ultimately ruin you. Keeping things the same will keep your luck the same. -----> The article talks about rituals‚ how Dennis Grossini‚ a
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Cox Regression Models Questions with Answers Worked Example An investigation is carried out into popularity of new cars being bought in the showroom of a Mercedes dealer. Data recorded for each car included colour‚ engine size and car type. A Cox proportional hazards model was fitted to the data and the results are given below: Write down the Cox hazard function according to this model. With regards to the model you have written down above state the following: • To which class of car does the
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linear (i.e. if the relationship between y and x is linear). Next perform residual analysis and test for violation of assumptions. (Let y = arterial oxygen and x = blood flow). twoway (scatter y x) (lfit y x) regress y x rvpplot x 2. Since regression diagnostics failed‚ we transform our data. Ratio transformation was used to generate the dependent variable and reciprocal transformation was used to generate the independent variable. 3. Check if the model is adequate by checking the t-statistic
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to make a name in the baseball world and many have failed. Few have succeeded. The list goes on and on of those who have been good‚ but there’s a short list of those who have been great. And now they are being put together on one team‚ to play an imaginary game. From pitcher to outfield‚ the best players are chosen in order in their position decided by a survey. Lynn Nolan Ryan‚ Jr‚ was born on January 31‚ 1947. Nicknamed "The Ryan Express"‚ a former Major League Baseball pitcher. He is currently
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Baseball today has been consider to be known as America national sport. This game has a long history with the country and had many cultural impacts that changed the sport and also help changed the American social view. Baseball has deal with issues from sex‚ race‚ war‚ globalization‚ depression‚ and more. To understand how baseball effect the social culture in American we will be focusing around the 1940-50s. During this time period‚ Americans were having to adjust to the huge changes from World
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Types of regression and linear regression equation 1. The term regression was first used as a statistical concept in 1877 by Sir Francis Galton. 2. Regression determines ‘cause and effect’ relationship between variables‚ so it can aid to the decision-making process. 3. It can only indicate how or to what extent variables are associated with each other. 4. There are two types of variables used in regression analysis i.e. The known variable is called as Independent Variable and the variable which
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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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