Scatter Diagram of Bivariate Measurement Data. Bivariate Measurement Data Example of Bivariate Measurement:

Slides:



Advertisements
Similar presentations
Linear regression and correlation
Advertisements

Learning Objectives Copyright © 2002 South-Western/Thomson Learning Data Analysis: Bivariate Correlation and Regression CHAPTER sixteen.
Learning Objectives Copyright © 2004 John Wiley & Sons, Inc. Bivariate Correlation and Regression CHAPTER Thirteen.
Chapter 4 Describing the Relation Between Two Variables
Regression and Correlation
10.1 Scatter Plots and Trend Lines
FACTOR THE FOLLOWING: Opener. 2-5 Scatter Plots and Lines of Regression 1. Bivariate Data – data with two variables 2. Scatter Plot – graph of bivariate.
Linear Regression Analysis
Chapter 4 Two-Variables Analysis 09/19-20/2013. Outline  Issue: How to identify the linear relationship between two variables?  Relationship: Scatter.
Linear Regression and Correlation
Descriptive Methods in Regression and Correlation
Graphing Linear Equations. What is a Linear Equation? A linear equation is an equation whose graph is a LINE. Linear Not Linear.
Graphing Linear Equations
Copyright © Cengage Learning. All rights reserved. 13 Linear Correlation and Regression Analysis.
Is there a relationship between the lengths of body parts ?
Learning Objective Chapter 14 Correlation and Regression Analysis CHAPTER fourteen Correlation and Regression Analysis Copyright © 2000 by John Wiley &
Introduction to Quantitative Data Analysis (continued) Reading on Quantitative Data Analysis: Baxter and Babbie, 2004, Chapter 12.
Biostatistics Unit 9 – Regression and Correlation.
Linear Regression When looking for a linear relationship between two sets of data we can plot what is known as a scatter diagram. x y Looking at the graph.
Prior Knowledge Linear and non linear relationships x and y coordinates Linear graphs are straight line graphs Non-linear graphs do not have a straight.
 Graph of a set of data points  Used to evaluate the correlation between two variables.
Correlation Correlation is used to measure strength of the relationship between two variables.
Objective: Plot points and lines on a coordinate plane. Standards Addressed: G: Represent relationships with tables or graphs in the coordinate plane.
Section 4.1 Scatter Diagrams and Correlation. Definitions The Response Variable is the variable whose value can be explained by the value of the explanatory.
Welcome to MM207 Unit 8 Seminar Dr. R. Correlation, Regression and Excel!
STATISTICS 12.0 Correlation and Linear Regression “Correlation and Linear Regression -”Causal Forecasting Method.
Describing Relationships: Scatterplots and Correlation.
Chapter Bivariate Data (x,y) data pairs Plotted with Scatter plots x = explanatory variable; y = response Bivariate Normal Distribution – for.
Creating a Residual Plot and Investigating the Correlation Coefficient.
Chapter 4 Summary Scatter diagrams of data pairs (x, y) are useful in helping us determine visually if there is any relation between x and y values and,
Correlation The apparent relation between two variables.
Chapter 9: Correlation and Regression Analysis. Correlation Correlation is a numerical way to measure the strength and direction of a linear association.
9.1B – Computing the Correlation Coefficient by Hand
Correlation. Correlation is a measure of the strength of the relation between two or more variables. Any correlation coefficient has two parts – Valence:
Scatter Diagrams scatter plot scatter diagram A scatter plot is a graph that may be used to represent the relationship between two variables. Also referred.
2.5 Using Linear Models A scatter plot is a graph that relates two sets of data by plotting the data as ordered pairs. You can use a scatter plot to determine.
Regression Analysis. 1. To comprehend the nature of correlation analysis. 2. To understand bivariate regression analysis. 3. To become aware of the coefficient.
1 ES9 Chapters 4 ~ Scatterplots & Correlation. 2 ES9 Chapter Goals To be able to present bivariate data in tabular and graphic form To gain an understanding.
What Do You See?. A scatterplot is a graphic tool used to display the relationship between two quantitative variables. How to Read a Scatterplot A scatterplot.
You can calculate: Central tendency Variability You could graph the data.
.  Relationship between two sets of data  The word Correlation is made of Co- (meaning "together"), and Relation  Correlation is Positive when the.
Graphing Linear Equations From the beginning. What is a Linear Equation? A linear equation is an equation whose graph is a LINE. Linear Not Linear.
STATISTICS 12.0 Correlation and Linear Regression “Correlation and Linear Regression -”Causal Forecasting Method.
Material Taken From: Mathematics for the international student Mathematical Studies SL Mal Coad, Glen Whiffen, John Owen, Robert Haese, Sandra Haese and.
1 MVS 250: V. Katch S TATISTICS Chapter 5 Correlation/Regression.
Slide 1 © 2002 McGraw-Hill Australia, PPTs t/a Introductory Mathematics & Statistics for Business 4e by John S. Croucher 1 n Learning Objectives –Understand.
Correlation Assumptions: You can plot a scatter graph You know what positive, negative and no correlation look like on a scatter graph.
Chapter 9 Scatter Plots and Data Analysis LESSON 1 SCATTER PLOTS AND ASSOCIATION.
 Graphs are the best way to visually represent relationships between two variables.  Y-AXIS (VERTICAL)  for our purposes this will always be distance.
REGRESSION MODELS OF BEST FIT Assess the fit of a function model for bivariate (2 variables) data by plotting and analyzing residuals.
Bivariate Data – Scatter Plots and Correlation Coefficient……
STATISTICS: USING SCATTER PLOTS CHAPTER 2 LESSON 5.
Unit 3 – Association: Contingency, Correlation, and Regression Lesson 3-2 Quantitative Associations.
Correlation Definition: Correlation - a mutual relationship or connection between two or more things. (google.com) When two set of data appear to be connected.
Unit 6 Review! Objective: to review data analysis Common Core State Standards 8.SP.1; 8.SP.2; 8.SP.3; 8.SP.4.
Pearson’s Correlation Coefficient
Is there a relationship between the lengths of body parts?
Common Core State Standards
Scatterplots A way of displaying numeric data
CHAPTER fourteen Correlation and Regression Analysis
Suppose the maximum number of hours of study among students in your sample is 6. If you used the equation to predict the test score of a student who studied.
2. Find the equation of line of regression
Correlation and Regression
Graphing Linear Equations
Unit 4 Mathematics Created by Educational Technology Network
Residuals and Residual Plots
Section 1.4 Curve Fitting with Linear Models
4 minutes Warm-Up Determine the coordinates of each point in the graph below x y A B C D.
Section 11.1 Correlation.
Relations P.O.D. #37 March
Presentation transcript:

Scatter Diagram of Bivariate Measurement Data

Bivariate Measurement Data Example of Bivariate Measurement:

Some questions for Bivariate Data Are the variables related? Can we quantify the strength of their relationship? Can we predict one variable from the other?

Let x, y be the two variables of a bivariate data. The variable x is marked along the horizontal axis and y on the vertical axis on a graph paper. The pairs (x, y) of observations are then plotted as dots on the graph. The resulting diagram is called a scatter diagram or scatter plot.

The correlation Coefficient If the scatter plot of (x,y) is a line, we say x and y has a linear relation. The to measure how “linear” a relation is, we use the correlation coefficient.

The correlation Coefficient, r The value of r is always between -1 and 1. The magnitude of r indicates the strength of a linear relation, whereas its sign indicates the direction.

Calculation r