Data Mining 95-791 Spring 2013 Lecture #8 Predictive analytics: Regression Artur Dubrawski awd@cs.cmu.edu This unit • Good-old correlation scores revisited • Locally weighted regression – As an approximator of non-linear functions – As a framework for active/purposive acquisition of data 95-791 Data Mining Lecture #8 Slide 2 Copyright © 2000-2013 Artur Dubrawski Correlational scores of association between attributes of data • • • • Linear Rank Quadratic …. Would not it be
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Wendy (Wenyu) Yan z3242429 z3283995 z3253113 z3284666 z3241580 1 Multiples versus DCF analysis Multiples analysis is simple to understand and apply. The inputs for the multiple are publicly available‚ though are vulnerable to accounting manipulation. Also‚ it is difficult to obtain a truly comparable large sample of firms. Multiples analysis is backward-looking‚ reliant on historical/current data to obtain multiples. It reflects relative value rather than the intrinsic value which DCF valuation
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CWRU Regression Project Report OPRE 433 Tianao Zhang 12/5/2011 Introduction According to the data I’ve received‚ there are 6578 observations. The data base is composed by 13 columns and 506 rows. All the explanatory variables are continuous as well as the dependent variable and there are no categorical variables. My goal is to build a regression model to predict the average of Y or particular Y by a given X. 1. Do the regression assumptions such as Constant Variance‚ Normality and Independence
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critic’s position was to evaluate various aspects of a text that produced ambiguity. He or she analyzed metaphor‚ simile‚ and other rhetorical tropes that resulted in stress and counterstress‚ reconciling them to find the harmony in a work. Through analysis‚ the critic could then tell readers how to interpret a text and what value was to be gained from reading a text. In other words‚ the critic became the interpreter through which literature could be understood. Additionally‚ the text had to be considered
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of the public policy process‚ these being Problem Identification and Agenda Setting. This section of the paper will be looking at the theory behind agenda setting which explains what occurred. This legislation is an example of Kingdon’s Multiple-Streams Framework . In Kingdon’s Multiple-Streams Framework‚ he writes that there are three streams to agenda setting‚ the first stream is called the problem stream this stream is dominated by perceptions of what is a “public” problem. (Béland‚ 2016) These
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Visit www.myignou.in to download more solved assignments! EEG-02/BEGE-102 Solved Assignment 2012-2013 Presented by www.myignou.in V. There are only two nasal-consonants in English ans) False VII. We normally use the falling tone in commands ans) True VIII.We normally use the rising tone in polite requests ans) True IX. Complex words are combinations of free morphemes ans) False X. A stem consisting of a simple free morpheme is a root ans) True 1 | P a g e Downloaded from www.myignou
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Regression Analysis: Predicting for Detroit Tigers Game Managerial Economics BSNS 6130 December 13‚ 2012 By: Morgan Thomas Chad Goodrich Jake Dodson Austin Burris Brittany Lutz Abstract As there are many who invest in athletic events‚ the ability to better predict attendance to such events‚ such as the Detroit Tigers games‚ could benefit many. The benefits include being able to better stock concessions stands‚ allocate advertising budgets‚ and staff security. Therefore‚ the aim
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Chap 13 44 1.4 100 1.3 110 1.3 110 0.8 85 1.2 105 1.2 105 1.1 120 0.9 75 1.4 80 1.1 70 1.0 105 1.1 95 A sample of 12 homes sold last week in St. Paul‚ Minnesota‚ is selected. Can we conclude that‚ as the size of the home (reported below in thousands of square feet) increases‚ the selling price (reported in $ thousands) also increases? * Compute the coefficient of correlation. * = [12(1344) – (13.8)(1160)]/12(16.26) – (13.8)2][12(114850)
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a cost of $1‚500‚000 that indicates a high receptivity among the 30‚000‚000 American males for a new Gillette shaving razor. Research indicates that between 5% - 12% of the target market would purchase the razor. Marketing has stated that your analysis should assume that only 10% of the target market is penetrated. The research also indicated that out of every 10 new razors sold‚ only 3 of the purchasers (30% of sales) would have purchased an existing Gillette razor if the new razor had not been
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47 Review: Inference for Regression Example: Real Estate‚ Tampa Palms‚ Florida Goal: Predict sale price of residential property based on the appraised value of the property Data: sale price and total appraised value of 92 residential properties in Tampa Palms‚ Florida 1000 900 Sale Price (in Thousands of Dollars) 800 700 600 500 400 300 200 100 0 0 100 200 300 400 500 600 700 800 900 1000 Appraised Value (in Thousands of Dollars) Review: Inference for Regression We can describe the relationship
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