EPI/STA 553 Principles of Statistical Inference II Fall 2006 Regression: Testing Assumptions December 4‚ 2006 Linearity The linearity of the regression mean can be examined visually by plots of the residuals against any of the independent variables‚ or against the predicted values. Chart 1 shows a residual plot that reveals no Chart 2 C hart 1 0.4 0.4 0.3 0.3 0.2 0.1 0.1 Residual Residual 0.2 0.0 -0.1 0.0 -0.1 -0.2 -0.2 -0.3 -0.3 -0.4 -0.5
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Poisson Regression This page shows an example of poisson regression analysis with footnotes explaining the output. The data collected were academic information on 316 students. The response variable is days absent during the school year (daysabs)‚ from which we explore its relationship with math standardized tests score (mathnce)‚ language standardized tests score (langnce) and gender . As assumed for a Poisson model our response variable is a count variable and each subject has the same length
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http://www.mathsisfun.com/data/standard-normal-distribution-table.html (Z table) http://www.sjsu.edu/faculty/gerstman/StatPrimer/t-table.pdf (t table) Critical Values (Z) Level of Significance 1% 2% 4% 5% 10% Two Tailed ±2.56 ±2.32 ±2.05 ±1.96 ±1.64 Right tailed +2.32 +2.05 +1.75 +1.64 +1.28 Left tailed -2.32 -2.05 -1.75 -1.64 -1.28 Q1) A cinema hall has cold drinks fountain supplying Orange and Ditzy Colas. When the machine is turned on‚ it fills a 550ml cup with 500ml of the
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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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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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Topic 4. Multiple regression Aims • Explain the meaning of partial regression coefficient and calculate and interpret multiple regression models • Derive and interpret the multiple coefficient of determination R2and explain its relationship with the the adjusted R2 • Apply interval estimation and tests of significance to individual partial regression coefficients d d l ff • Test the significance of the whole model (F-test) Introduction • The basic multiple regression model is a simple extension
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customers in this department. The sales associates working the floor were eager to help each customer with there individual needs. When entering the store it takes an average of three seconds before being welcomed to the store. II. Merchandise Appearance-The
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elements of Decision. Ques. 2 The raw data displayed here are the scores (out of 100 marks) of a market survey regarding the acceptability of a new product launch by a company for a random sample of 50 respondents 40 45 41 45 45 30 39 8 48 25 26 9 23 24 26 29 8 40 41 42 39 35 18 25 35 40 42 43 44 36 27 32 28 27 25 26 38 37 36 35 32 38 40 41 43 44 45 40 39 41 a. Form a frequency distribution having 9
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Introduction This case analyses the market strategy behind the introduction of Exact! Universal Apparel. In the past‚ the Foschini Group owned a chain store called Pages. Pages had been a successful chain in the past‚ but it targeted a different market to the target market identified by Exact!. Pages target market was focused on the LSM 2 – 4 market.‚ whereas Exact! Target market focused on LSM 4 – 8. In this assignment‚ I have identified the problems and challenges facing Exact!‚ the various
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How to Get Bouncy Conversion Rate in Your Magento Store We are living in an environment that only demand to have positive results on the web‚ as it is the only place which has the maximum scope to gain benefit. With the advent of technology‚ the obvious rise in the number of online users can be seen easily. This in turn also give birth to plenty of eCommerce stores as the business owners find this as the best place to be in reach of the maximum crowd‚ most of them being their prestigious customers
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