PPT-Identify patterns and Make Predictions from Scatter Plots

4 3 2 1 0 In addition to level 30 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 twoway tables and scatterplots. 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). Data. PPDAC. Types of data. We are looking for a set of data that is affected by the other data sets in our spreadsheet.. This variable is called dependent because its values are affected by the other data sets. 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.. Chris Ferro (University of Exeter). Tom . Fricker. , . Fredi. Otto, Emma Suckling. 12th International Meeting on Statistical Climatology (28 June 2013, . Jeju. , Korea). Credibility and performance. 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. 3.8 Time Series. What we are looking at now. Very important for Merit AND Excellence!. Fitted vs. Raw. This involves comparing the raw data (black line) with the fitted model (green line).. In particular, we are looking at how well the model fits the data. . Chris Ferro (University of Exeter). Tom . Fricker. , . Fredi. Otto, Emma Suckling. Credibility and performance. Many factors may influence credibility judgments, but should do so if and only if they affect our expectations about the performance of the predictions.. 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?. , . 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. Scatter Plot Review. Using the Regression Line Model to Make Predictions. It’s the responsibility of the news medium to report on important decisions made by newsmakers. Examples include new traffic laws based on the number of accidents, immigration reform based on the number of people emigrating to the U.S., and gas prices based on the supply and demand of oil. These decisions make headlines because of the impact they have on our lives. 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 . 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 .