PPT-Social Statistics: Correlation

What is correlation How to compute How to interpret This week 2 The relations between two variables How the value of one variable changes when the value of another variable changes A correlation coefficient is a numerical index to reflect the relationship between two variables. Chapter 10. Outline . Section 10-1 Introduction. Section 10-2 Scatter Plots. Section 10-3 Correlation. Section 10-4 Regression. Section 10-5 Coefficient of Determination and Standard Error of the Estimate. Elizabeth Goldschmidt. JQI tutorial . July 16, 2013. What is light?. 17. th. -19. th. century. – . particle. : Corpuscular theory (Newton) dominates over wave theory (Huygens).. 19th century. – . for Social. and . Behavioral. . Sciences. Part IV: Causality. Multivariate. . Regression. R . squared. , F test, . Chapter. . 11. Prof. Amine Ouazad. Data: Variables. y. . Box . = First run U.S. box office ($. European Molecular Biology Laboratory. Predoc. Bioinformatics Course. 17. th. Nov 2009. Tim Massingham, tim.massingham@ebi.ac.uk. Introduction. Basic statistics. What is a statistical test. Count data and Simpson’s paradox. Pb+Pb. collisions. Victor Roy. ITP Goethe . University Frankfurt. In collaboration with. L-G Pang, G-Y Qin, X-N Wang and G-L Ma. Plan of the talk. Motivation. Dynamical models . -3+1 D Ideal Hydro . Dr. Kari Lock Morgan. Describing Data:. Two Variables. SECTIONS 2.4, 2.5. One quantitative variable (2.4). One quantitative and one categorical (2.4). Two quantitative (2.5). z-score. Which is better, an ACT score of 28 or a combined SAT score of 2100?. ... beware. Definition. Var. (X+Y) = . Var. (X) + . Var. (Y) + 2·Cov(X,Y). The . correlation. between two random variables is a dimensionless number between 1 and -1.. Interpretation. Correlation measures the . Week 1. Data Relationships. Finding a relationship between variables is what we’re looking for when extracting data from sample populations. . Is education better or worst now than before?. Do students learn better with the use of technology in the classroom?. Coefficient. &. Line of Best Fit. . We first need to make . sure the . calculator is . CL. ea. R. . of all . previous content. . We first need to make . sure the . calculator is . CL. ea. R. . Coefficient. &. Line of Best Fit. We want to. . M CLR. . the calculator to. Clear its Memory. Find the Correlation Coefficient for the following data. Rainfall (x cm). 4.5. 3.0. 5.2. 5.0. 2.1. What is Correlation Analysis?. Testing the Significance of the Correlation Coefficient . Regression Analysis. The Standard Error of Estimate . Assumptions Underlying Linear Regression. Confidence and Prediction Intervals. a measure of the extent to which two variables change together.. How well does A predict B?. The correlation may be positive, negative, or have no relationship.. Correlation. A . positive correlation . Summary of the measure of the characteristics of individuals in groups.. A descriptive statistic talks about a single characteristics within a given group. Lots of descriptive statistics are summarizing lots of characteristics but all within a given group.. SBS200 - Lecture . Section 001, . Spring 2018. Room . 150 Harvill Building. 9:00 . - . 9:50 . Mondays, Wednesdays & Fridays. .. Welcome. 4/11/18. Lecturer’s desk. Harvill 150. renumbered. table.