PPT-1-5 Scatter Plots and Trend Lines

Objectives Create and interpret scatter plots Use trend lines to make predictions Vocabulary scatter plot correlation positive correlation negative correlation no correlation trend line . Spring . 2014. Primary Instructor: . Elizabeth Garrett-Mayer. Stata. Graphics. February . 24. Basic syntax for commands. p. refix: . command . varlist. , . options. Examples:. regress . y x. , . level(90). Don’t use default Excel plots!. Figure . should highlight the key relationships in the data. .. Should . be clear - no extraneous legends, lines, only use annotations when they add real explanatory value.  . In-DRAM Address Translation to Improve the Spatial Locality of Non-unit Strided Accesses. Vivek Seshadri. Thomas Mullins, . Amirali. . Boroumand. , Onur Mutlu, . Phillip B. . Gibbons, Michael A. Kozuch, . Create the . chart. Highlight both variables, TV and GPA. Insert . . Scatter . . 2D Scatter. Add axes . titles. Chart Tools . . Layout . . Axis Title. Horizontal Axis . . Below Axis . Vocabulary. Bivariate. Scatter Plot. Positive Correlation. Negative Correlation. No Correlation. Scatter Plot. A set of . bivariate. (data with two variables) graphed as ordered pairs in a coordinate plane is called a scatter plot.. Amitabha. Roy. Ivo . Mihailovic. Willy . Zwaenepoel. 1. Graphs. 2. + . HyperANF. Pagerank. ALS. ….. Interesting information is encoded as graphs. Big Graphs. Large graphs are a subset of the big data . Remark: covers Chapter 3 of the Tan book in Part. Organization. Why Exloratory Data Analysis?. Summary Statistics. Visualization. 1. Why Data Exploration?. Key motivations of data exploration include. Course 2. Warm Up. Problem of the Day. Lesson Presentation. Warm Up. Use the data below for Questions 1-4.. 14, 25, 37, 53, 26, 12, 70, 31. 1.. What is the mean?. 2.. What is the median?. 3.. What is the mode?. 4. 3. 2. 1. 0. In addition to level 3.0 and beyond what was taught in class, the student may: . Make connection with other concepts in math.. Make connection with other content areas..  . The student will construct, interpret and identify patterns of associations for bivariate data displayed in two-way tables and scatterplots.. 4. 3. 2. 1. 0. In addition to level 3.0 and beyond what was taught in class, the student may: . Make connection with other concepts in math.. Make connection with other content areas..  . The student will construct, interpret and identify patterns of associations for bivariate data displayed in two-way tables and scatterplots.. slope to be . positive, negative, zero, or . undefined. . for the two sets of relations and the graph.. (2,1),(4,2),(6,3) 3. . 2. (3,0. ), (5,0), (7,0). Warm-Up. :. Determine the slope . to be . positive, negative, zero, or undefined for the two sets of relations and the graph.. Nicholas J. Cox. Department of Geography. 1. Quantile plots. Quantile plots show . ordered . values (raw data, estimates, residuals, whatever) . against . rank . or cumulative probability or a one-to-one function of . Texturing in X-Ray Diraction Tomography I. PARTICIPANTS Faculty/Sta Name Title Institution Email Joel Greenberg PI Duke University joel.greenberg@duke.edu Anuj Kapadia Co-PI Duke Un Wein LM, Liu Y, Leighton TJ. HEPA/Vaccine Plan for Indoor Anthrax Remediation. Emerg Infect Dis. 2005;11(1):69-76. https://doi.org/10.3201/eid1101.040635.