PPT-Regression Transformations for Normality and to Simplify Re

US Coal Mine Production 2011 Source wwweiagov Data Description Coal Mine Production and Labor Effort for all Mines Producing Over 100000 short tons of Coal in 2011 Units Mine n 691. a 12 22 a a mn is an arbitrary matrix Rescaling The simplest types of linear transformations are rescaling maps Consider the map on corresponding to the matrix 2 0 0 3 That is 7 2 0 0 3 00 brPage 2br Shears The next simplest type of linear transfo Explaining the Normal Distribution. Preliminaries: How to describe data. Discussion Question: How do we describe data in Statistics?. In this course, the way we describe data is by using the C.U.S.S. Method. We look at these characteristics:. Regression. slide . 1. Addendum. Testing assumptions of simple linear regression. 1. KNR 445. Regression. slide . 2. Now, how does one go about it?. The approach taken in this course will be to teach you to control . NBA 2013/14 Player Heights and Weights. Data Description / Model. Heights (X) and Weights (Y) for 505 NBA Players in 2013/14 Season. . Other Variables included in the Dataset: Age, Position. Simple Linear Regression Model: Y = . Instructional Materials. http://. core.ecu.edu/psyc/wuenschk/PP/PP-MultReg.htm. aka. , . http://tinyurl.com/multreg4u. Introducing the General. Linear Models. As noted by the General, the GLM can be used to relate one set of things (. “Essentially. , all models are wrong, but some are . useful”. George E.P. Box. Your model . has to be. wrong…. … but that’s o.k.. if it’s illuminating!. Linear Model. Assumptions. Absence of. Examine the concepts of normality . and abnormality. What is normal . behaviour. ?. In pairs or small groups discuss examples of . behaviour. that is normal, and . behaviour. that is abnormal.. Examine the concepts of normality . Linear Function. Y = a + bX. Fixed and Random Variables. A FIXED variable is one for which you have every possible value of interest in your sample.. Example: Subject sex, female or male.. A RANDOM variable is one where the sample values are randomly obtained from the population of values.. F-test in ANOVA is the so-called . omnibus test. . It tests the means globally. It says nothing about which particular means are different.. post hoc tests. , . multiple comparison tests. .. Tukey . Honestly Significant . Data Analysis & Computers II. Slide . 1. Assumption of normality. Assumption of normality. Transformations. Assumption of normality script. Practice problems. SW388R7. Data Analysis & Computers II. Please treat them well. Chong Ho Yu. Parametric test assumptions. In a parametric test a sample statistic is obtained to estimate the population parameter. . Because this estimation process involves a sample, a . My Email. awolters@scopus.vic.edu.au. . DISCLAIMER:. I do not represent . vcaa. . This is just my interpretation of the new study design requirements.. Activities to Demonstrate. Any . time I do an activity, big or small, I will. U.S. Coal Mine Production – 2011. Source: www.eia.gov. Data Description. Coal Mine Production and Labor Effort for all Mines Producing Over 100,000 short tons of Coal in 2011. Units: Mine (n = 691). Presented by. Kelly Benson. Mouiad Al-Wahah. 1. Definitions we agreed upon... Def 1. . Diagnosis is the problem of trying to find what is wrong with some system based on knowledge about the design/structure of the system, possible malfunctions that can occur in the system and observations made of the behavior of the system..