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    Package ‘randomForest’ February 20‚ 2015 Title Breiman and Cutler ’s random forests for classification and regression Version 4.6-10 Date 2014-07-17 Depends R (>= 2.5.0)‚ stats Suggests RColorBrewer‚ MASS Author Fortran original by Leo Breiman and Adele Cutler‚ R port by Andy Liaw and Matthew Wiener. Description Classification and regression based on a forest of trees using random inputs. Maintainer Andy Liaw <andy_liaw@merck.com> License GPL (>= 2) URL http://stat-www.berkeley.edu/users/breiman/RandomForests

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    MATH533: Applied Managerial Statistics PROJECT PART C: Regression and Correlation Analysis Using MINITAB perform the regression and correlation analysis for the data on SALES (Y) and CALLS (X)‚ by answering the following questions: 1. Generate a scatterplot for SALES vs. CALLS‚ including the graph of the "best fit" line. Interpret. After interpreting the scatter plot‚ it is evident that the slope of the ‘best fit’ line is positive‚ which indicates that sales amount varies directly

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    Tiffany Camp ECO-250 Volker Grzimek Regression Analysis of Work Hours in Relation to GPA This research investigated the affects of working extra hours in a labor position on students’ GPAs each semester at Berea College. It was my belief that students who worked more hours were more likely to have lower GPAs due to their studying abilities and opportunities being compromised as a result of working too long (a negative correlation or trend between GPAs and hours worked each week). For

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    Summary Samples Instructions: Award the following summaries gold‚ silver‚ and bronze medals. Be prepared to explain your rankings in light of the criteria we looked at. Summary A Yoder‚ J. D.‚ Hogue‚ M. Newman‚ R.‚ Metz‚ L. & LaVigne‚ T. (2003). Exploring moderators of gender differences: Contextual differences in door-holding behavior. Journal of Applied Social Psychology‚ 32‚ 1682-1686. Social roles theory suggests that there are different gender role expectations in different social

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    au/webapps/portal/frameset.jsp?tab=courses&url=/bin/common/course.pl?course_id=_111213_1&frame=top • You assignment must be in a Word doc format – no pdfs! • When answering questions‚ wherever required‚ you should cut and paste the Excel output (eg‚ plots‚ regression output etc) to show your working on your assignment. • You are required to keep a hard copy and an electronic copy of your submitted assignment to re-submit‚ in case the original submission is lost for some reason. Important Notice:

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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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    FINS3625 APPLIED CORPORATE FINANCE Case Study Written Report Week 8 Valuation: Laura Martin Name Student Number % Contributio n 20 20 20 20 20 Signature Karen Chan Yifeng Chen (Nino) Tony Richardson Weitao Wu (Tony) 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

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    The period after the fall of the Roman Empire has gone by many names. It has been called “The Dark Ages‚” “The Age of Feudalism‚” “The Age of Faith‚” and a Golden Age. The Middle Ages began around the time that the Roman Empire fell. The Roman Empire had been declining over time due to Military‚ Political‚ Economic‚ and Social issues. The fall of the Roman Empire brought many changes to Western Europe. Society regressed and forgot the achievements and discoveries that were made in the past. However

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    STUDENT DETAILS ________________________________________ ACAP Student ID: Name: Course: BASSIX ASSESSMENT DETAILS ________________________________________ Unit/Module: Interpersonal Communication BESC1011 Educator: Assessment Name: Literature search‚ note taking and referencing using the APA style Assessment Number: 1 Term & Year: Term 3‚ 2013 Word Count: DECLARATION I declare that this assessment is my own work‚ based on my own personal research/study

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    ANALYSIS OF SICKNESS ABSENCE USING POISSON REGRESSION MODELS David A. Botwe‚ M.Sc. Biostatistics‚ Department of Medical Statistics‚ University of Ibadan Email: davebotwe@yahoo.com ABSTRACT Background: There is the need to develop a statistical model to describe the pattern of sickness absenteeism and also to predict the trend over a period of time. Objective: To develop a statistical model that adequately describes the pattern of sickness absenteeism among workers. Setting: University College

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