PPT-Statistics: Using Scatter Plots

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. 5 015 005 10 1 10 10 180 135 90 45 Normalized Frequency Phase degrees brPage 7br Engineering Sciences 22 Systems Summer 2004 Bode Plots Page 7 Z Z Z Z cycle per lost energy stored energy brPage 8br Engineering Sciences 22 Systems Summer 2004 Bo Spring . 2013. Primary Instructor: . Elizabeth Garrett-Mayer. Stata. Graphics. February . 12. Basic syntax for commands. p. refix: . command . varlist. , . options. Examples:. regress . y x. , . level(90). On a Mac. Data in Excel Spreadsheet. Insert the variable you want on the x-axis in the left column. Insert the variable you want on the y-axis in the right column. Create the Chart. Highlight both variables, TV and GPA. 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, . Plots and Stuff. 1. A plot is. a two-dimensional display. (. it fits on a sheet of paper. ). of. points. or. curves. or. regions. .. Plots and Stuff. 2. Plots and Stuff. 3. (5,8). x. y. (8,22). points. Aditya Zutshi. Sriram Sankaranarayanan. Jyotirmoy Deshmukh. James Kapinski. 1. Physical System (plant). Discrete Controller. Actuate. Sense. Hybrid Systems. Safety Critical !. 2. Initial States. Error. Spring . 2012. Primary Instructor: . Elizabeth Garrett-Mayer. Stata. Graphics. February . 16. Basic syntax for commands. p. refix: . command . varlist. , . options. Examples:. regress . y x. , . level(90). New . planks in an old campaign. 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 . 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. 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.. , . Gianna. Fazio, Amanda Groff. What is a Scatter plot?. A scatter plot is a graph in which two sets of data are plotted as ordered pairs in a coordinate plane. . When Would You . U. se a Scatter Plot?. 5.0. This chapter will cover 2D (two-dimensional) plots. Many options:. Linear, semi-logarithmic, logarithmic axes. Line type, color, thickness. Lots of different data-point markers. Grid lines, titles, text comments, legends. 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.. chapter two of the text. Use the Snow data set.. Select Cells C1:D52. Click on the Insert tab, choose Recommended Charts or Insert . Scatter or Bubble Chart. Scatter Diagram. Select the most basic scatter diagram (but note the other .