3. Multiple Correlation 1. Perfect Correlation 2. High Degree of Correlation 3. Moderate Degree of Correlation 4. Low Degree of Correlation 5.

Slides:



Advertisements
Similar presentations
Spearman’s Rank Correlation Coefficient
Advertisements

Linear regression and correlation
Covariance and Correlation: Estimator/Sample Statistic: Population Parameter: Covariance and correlation measure linear association between two variables,
Bivariate and Partial Correlations. X (HT) Y (WT) The Graphical View– A Scatter Diagram X’ Y’
© 2010 Pearson Prentice Hall. All rights reserved Scatterplots and Correlation Coefficient.
CJ 526 Statistical Analysis in Criminal Justice
SOME STATISTICAL CONCEPTS Chapter 3 Distributions of Data Probability Distribution –Expected Rate of Return –Variance of Returns –Standard Deviation –Covariance.
Sir Francis Galton Karl Pearson October 28 and 29.
Correlation and Regression 1. Bivariate data When measurements on two characteristics are to be studied simultaneously because of their interdependence,
CORRELATION Correlation analysis deals with the association between two or more variables. Simphson & Kafka If two or more quantities vary in sympathy,
Correlation Coefficient Correlation coefficient refers to the type of relationship between variables that allows one to make predications from one variable.
February  Study & Abstract StudyAbstract  Graphic presentation of data. Graphic presentation of data.  Statistical Analyses Statistical Analyses.
Correlation and regression 1: Correlation Coefficient
Scatter Plots and Linear Correlation. How do you determine if something causes something else to happen? We want to see if the dependent variable (response.
Correlation. In this lesson you will cover: How to measure and interpret correlation About the effects of scaling data on correlation.
Learning Objective Chapter 14 Correlation and Regression Analysis CHAPTER fourteen Correlation and Regression Analysis Copyright © 2000 by John Wiley &
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.
Managerial Economics Demand Estimation. Scatter Diagram Regression Analysis.
WELCOME TO THETOPPERSWAY.COM.
MEASURES of CORRELATION. CORRELATION basically the test of measurement. Means that two variables tend to vary together The presence of one indicates the.
2 Variable Stats Does the amount of time spent on homework improve your grade? If you eat more junk food will you gain weight? Does the amount of rainfall.
Correlation 1 Scatter diagrams Measurement of correlation Using a calculator Using the formula Practice qs.
CORRELATION. Bivariate Distribution Observations are taken on two variables Two characteristics are measured on n individuals e.g : The height (x) and.
Introduction to Correlation Analysis. Objectives Correlation Types of Correlation Karl Pearson’s coefficient of correlation Correlation in case of bivariate.
Practical Statistics Correlation. There are six statistics that will answer 90% of all questions! 1. Descriptive 2. Chi-square 3. Z-tests 4. t-tests 5.
Chapter 3 Correlation.  Association between scores on two variables –e.g., age and coordination skills in children, price and quality.
CORRELATION. Correlation key concepts: Types of correlation Methods of studying correlation a) Scatter diagram b) Karl pearson’s coefficient of correlation.
Chapter 9 Correlational Research Designs. Correlation Acceptable terminology for the pattern of data in a correlation: *Correlation between variables.
Chapter Bivariate Data (x,y) data pairs Plotted with Scatter plots x = explanatory variable; y = response Bivariate Normal Distribution – for.
5.4 Line of Best Fit Given the following scatter plots, draw in your line of best fit and classify the type of relationship: Strong Positive Linear Strong.
Chapter 9: Correlation and Regression Analysis. Correlation Correlation is a numerical way to measure the strength and direction of a linear association.
2.6 Scatter Diagrams. Scatter Diagrams A relation is a correspondence between two sets of data X is the independent variable Y is the dependent variable.
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.
Correlation & Regression
Copyright © 2010 Pearson Education, Inc. All rights reserved Sec
Mathematical Studies for the IB Diploma © Hodder Education Pearson’s product–moment correlation coefficient.
V. Rouillard  Introduction to measurement and statistical analysis CURVE FITTING In graphical form, drawing a line (curve) of best fit through.
CORRELATION ANALYSIS.
Bivariate Statistics NominalOrdinalInterval Nominal  2 Rank-sumt-test Kruskal-Wallis HANOVA OrdinalSpearman r s (rho) IntervalPearson r Regression Y X.
Pearson’s Correlation The Pearson correlation coefficient is the most widely used for summarizing the relation ship between two variables that have a straight.
Dr Hidayathulla Shaikh Correlation and Regression.
Correlation Definition: Correlation - a mutual relationship or connection between two or more things. (google.com) When two set of data appear to be connected.
Correlation and regression by M.Shayan Asad
Practical Statistics Correlation. There are six statistics that will answer 90% of all questions! 1. Descriptive 2. Chi-square 3. Z-tests 4. t-tests 5.
1 Press Ctrl-A ©G Dear 2009 – Not to be sold/Free to use CorrelationCoefficient Stage 6 - Year 11 General Mathematics HSC.
S1 MBA. STATISTICS FOR MANAGEMENT TOPIC-CORRELATION.
Analysis and Interpretation: Multiple Variables Simultaneously
Simple Linear Correlation
Calculating the correlation coefficient
CORRELATION.
©2004 by Pearson Education. ©2004 by Pearson Education.
What is Correlation Analysis?
©2004 by Pearson Education. ©2004 by Pearson Education.
Correlation coefficient and path coefficient analysis
CHAPTER fourteen Correlation and Regression Analysis
عمل الطالبة : هايدى محمد عبد المنعم حسين
The Linear Correlation Coefficient
CORRELATION ANALYSIS.
Correlation and Regression
Polynomial Functions and Their Graphs
Quadratic Equations, Inequalities, and Functions
Coefficient of Correlation
Representing data: Scatter diagrams – correlation strength
Karl’s Pearson Correlation
4/4/2019 Correlations.
SUBMITTED TO:- Mrs. Vanadana jain mam SUBMITTED BY:- Ravneet kaur, priyanka Sharma Roll no. 331,330 CONTENTS:- ●Meaning & definition ● Utility of correlation.
Making Sense of Statistics:
Line Graphs.
CORRELATION & REGRESSION compiled by Dr Kunal Pathak
Presentation transcript:

3. Multiple Correlation

1. Perfect Correlation 2. High Degree of Correlation 3. Moderate Degree of Correlation 4. Low Degree of Correlation 5. Absence of Correlation Degree of correlation can be known by coefficient of correlation (r). The following can be various types of the degree of correlation.

METHODS OF STUDYING CORRELATION 1.GRAPHIC METHODS 1.SCATTER DIAGRAM 2.CORRELATION GRAPH 2.ALGEBRIC METHOD 3.KARL PEARSON COEFFICIENT OF CORRELATION 4.RANK CORRELATION METHOD. CONCURRENT DEVIATION METHOD