'Scatter plots' presentation slideshows

1.38k views • 105 slides

Introduction to Scientific Visualization

Introduction to Scientific Visualization. Materials from: Ken Flurchick Ohio Supercomputing Center Todd Veltman West Lyden High School Alan Shih, Dave Bock, Alan Craig, Polly Baker, Scott Lathrop, Lisa Bievenue, plus all the researchers who provided examples

941 views • 56 slides

Correlation Coefficient & Simple Linear Regression

Association does not imply causation. Correlation Coefficient & Simple Linear Regression. STATS 101 Laurens Holmes, Jr. Correlation does not assume causality but regression does. SIR FRANCIS GALTON (1822-1911).

1.54k views • 53 slides

Reading the Holter ECG Report

Reading the Holter ECG Report. Premier 12. Introduction. Included in a Holter ECG recording are the following ECG testing modalities. These tests include the following: * Standard Holter ECG with Full Disclosure

4.32k views • 50 slides

Data Presentation

A guide to good graphics . Data Presentation. Bureau of Justice Statistics October 11, 2000. Marianne W. Zawitz zawitzm@ojp.usdoj.gov. Quality presentations of data -. Bureau of Justice Statistics. Take advantage of how we already process information

630 views • 50 slides

Data Mining: Exploring Data

Data Mining: Exploring Data. Lecture Notes for Chapter 3 Introduction to Data Mining by Minqi Zhou. Recap__Similarity and Dissimilarity. Similarity Numerical measure of how alike two data objects are. Is higher when objects are more alike. Often falls in the range [0,1] Dissimilarity

644 views • 48 slides

Data Analysis

Data Analysis. Introduction. In this presentation we will examine: Procedures for analysing data; The value of plotting data; Primary methods for analysing data: regression; correlation; variance; factor analysis. Data analysis.

621 views • 40 slides

Spatio-Temporal Visualization of Environmental & Health Indicators

Spatio-Temporal Visualization of Environmental & Health Indicators. Ravi K. Sharma, PhD Bambang Parmanto, PhD Pei Chen Lee, Ms Conrad Daniel Volz Jr, DrPH University of Pittsburgh, Graduate School of Public Health University of Pittsburgh. Objective.

565 views • 36 slides

Using Stata Graphs to Visually Monitor the Progress of Multi-centre Randomized Clinical Trials

Using Stata Graphs to Visually Monitor the Progress of Multi-centre Randomized Clinical Trials. Alexandra Whate & Glenn Jones. General Background. Clinical trials are increasingly multi-centre and global

657 views • 35 slides

Normal Plot

Normal Plot. Check normality assumption of the data Steps of constructing a normal plot (Example: 4.8 on page 124 of the textbook) Order the data increasing, Calculate the sample percentiles for the i-th ordered data: ,

502 views • 33 slides

406 views • 26 slides

Statistics: Using Scatter Plots

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.

565 views • 25 slides

Answering Descriptive Questions in Multivariate Research

653 views • 23 slides

Regression Analysis

Regression Analysis. Scatter plots. Regression analysis requires interval and ratio-level data. To see if your data fits the models of regression, it is wise to conduct a scatter plot analysis. The reason?

681 views • 23 slides

Scatter Plots and Correlations

Scatter Plots and Correlations. Is there a relationship between the amount of gas put in a car and the number of miles that can be driven ?. Positive Correlation. As one set of data values increases, so does the other. Positive Correlation.

439 views • 23 slides

Scatter Plots

Scatter Plots. 4.7. C. D. A. B. Warm Up. Graph each point on the same coordinate plane. 1. A (5, 20) 2. B (20, 15) 3. C (10, 40) 4. D (30, 35). Learn to create and interpret scatter plots. Vocabulary. scatter plot correlation line of best fit.

369 views • 19 slides

Multiple Regression Analysis

Multiple Regression Analysis. The principles of Simple Regression Analysis can be extended to two or more explanatory variables. With two explanatory variables we get an equation Y = ? + ? 1 X 1 + ? 2 X 2. . It is customary to write it as Y = ? 0 + ? 1 X 1 + ? 2 X 2

308 views • 10 slides

Multiple Regression Analysis

Multiple Regression Analysis. The principles of Simple Regression Analysis can be extended to two or more explanatory variables. With two explanatory variables we get an equation Y = ? + ? 1 X 1 + ? 2 X 2. . It is customary to write it as Y = ? 0 + ? 1 X 1 + ? 2 X 2

397 views • 10 slides

Linear Regression Analysis with a focus on Influence Diagnostics using proc reg prepared by Voytek Grus for

Linear Regression Analysis with a focus on Influence Diagnostics using proc reg prepared by Voytek Grus for. SAS user group, Halifax February 23, 2007. Introduction: What is Regression Analysis?.

403 views • 10 slides

2.5 Scatter Plots & Lines of Regression

246 views • 8 slides