You can calculate: Central tendency Variability You could graph the data.

Slides:



Advertisements
Similar presentations
Bivariate Analyses.
Advertisements

Correlation-Regression The correlation coefficient measures how well one can predict X from Y or Y from X.
Statistical Relationship Between Quantitative Variables
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.
Correlation and Regression Analysis
Relationships Among Variables
Lecture 5 Correlation and Regression
Correlation and Regression A BRIEF overview Correlation Coefficients l Continuous IV & DV l or dichotomous variables (code as 0-1) n mean interpreted.
Lecture 16 Correlation and Coefficient of Correlation
Answering Descriptive Questions in Multivariate Research When we are studying more than one variable, we are typically asking one (or more) of the following.
Correlation: A statistic to describe the relationship between variables Hours Worked Pay Hours Worked Pay Hours Worked Pay.
Correlation By Dr.Muthupandi,. Correlation Correlation is a statistical technique which can show whether and how strongly pairs of variables are related.
Correlation and regression 1: Correlation Coefficient
@ 2012 Wadsworth, Cengage Learning Chapter 5 Description of Behavior Through Numerical 2012 Wadsworth, Cengage Learning.
Section #6 November 13 th 2009 Regression. First, Review Scatter Plots A scatter plot (x, y) x y A scatter plot is a graph of the ordered pairs (x, y)
Relationships between Variables. Two variables are related if they move together in some way Relationship between two variables can be strong, weak or.
Class Meeting #11 Data Analysis. Types of Statistics Descriptive Statistics used to describe things, frequently groups of people.  Central Tendency 
Copyright © Cengage Learning. All rights reserved. 13 Linear Correlation and Regression Analysis.
Chapter 3 Describing Bivariate Data General Objectives: Sometimes the data that are collected consist of observations for two variables on the same experimental.
Math 2: Unit 6 Day 1 How do we use scatter plots, correlation, and linear regression?
Introduction to Quantitative Data Analysis (continued) Reading on Quantitative Data Analysis: Baxter and Babbie, 2004, Chapter 12.
Correlation and regression lesson 1 Introduction.
6.1 What is Statistics? Definition: Statistics – science of collecting, analyzing, and interpreting data in such a way that the conclusions can be objectively.
Regression and Correlation. Bivariate Analysis Can we say if there is a relationship between the number of hours spent in Facebook and the number of friends.
A P STATISTICS LESSON 2 – 2 STANDARD NORMAL CALCULATIONS.
Statistics 11 Correlations Definitions: A correlation is measure of association between two quantitative variables with respect to a single individual.
 A _____________________ is any set of ordered pairs that express a relationship.  A _____________________ is a relationship between two variables. This.
Correlation and Regression PS397 Testing and Measurement January 16, 2007 Thanh-Thanh Tieu.
Correlation is a statistical technique that describes the degree of relationship between two variables when you have bivariate data. A bivariate distribution.
Statistical Analysis Topic – Math skills requirements.
Investigating the Relationship between Scores
Elementary Statistics Correlation and Regression.
Sec 1.5 Scatter Plots and Least Squares Lines Come in & plot your height (x-axis) and shoe size (y-axis) on the graph. Add your coordinate point to the.
Educ 200C Wed. Oct 3, Variation What is it? What does it look like in a data set?
© Copyright McGraw-Hill Correlation and Regression CHAPTER 10.
Describing Relationships Using Correlations. 2 More Statistical Notation Correlational analysis requires scores from two variables. X stands for the scores.
Chapter 10 For Explaining Psychological Statistics, 4th ed. by B. Cohen 1 A perfect correlation implies the ability to predict one score from another perfectly.
Chapter 3 Correlation.  Association between scores on two variables –e.g., age and coordination skills in children, price and quality.
Practice You collect data from 53 females and find the correlation between candy and depression is Determine if this value is significantly different.
Chapter Bivariate Data (x,y) data pairs Plotted with Scatter plots x = explanatory variable; y = response Bivariate Normal Distribution – for.
Statistics Bivariate Analysis By: Student 1, 2, 3 Minutes Exercised Per Day vs. Weighted GPA.
A “quick” step backwards
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:
You can calculate: Central tendency Variability You could graph the data.
Appendix B: Statistical Methods. Statistical Methods: Graphing Data Frequency distribution Histogram Frequency polygon.
Scatter Diagram of Bivariate Measurement Data. Bivariate Measurement Data Example of Bivariate Measurement:
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.
With the growth of internet service providers, a researcher decides to examine whether there is a correlation between cost of internet service per.
SPSS SPSS Problem # (7.19) 7.11 (b) You can calculate: Central tendency Variability You could graph the data.
Correlation They go together like salt and pepper… like oil and vinegar… like bread and butter… etc.
Linear Correlation (12.5) In the regression analysis that we have considered so far, we assume that x is a controlled independent variable and Y is an.
ContentDetail  Two variable statistics involves discovering if two variables are related or linked to each other in some way. e.g. - Does IQ determine.
Correlations in Personality Research Many research questions that are addressed in personality psychology are concerned with the relationship between two.
Chapter 9 Scatter Plots and Data Analysis LESSON 1 SCATTER PLOTS AND ASSOCIATION.
©2013, The McGraw-Hill Companies, Inc. All Rights Reserved Chapter 3 Investigating the Relationship of Scores.
CORRELATION.
LSRL.
Least Squares Regression Line.
Practice. Practice Practice Practice Practice r = X = 20 X2 = 120 Y = 19 Y2 = 123 XY = 72 N = 4 (4) 72.
Remember No Class on Wednesday No Class on Friday.
2. Find the equation of line of regression
You can calculate: Central tendency Variability You could graph the data.
Least Squares Regression Line LSRL Chapter 7-continued
You can calculate: Central tendency Variability You could graph the data.
7.1 Draw Scatter Plots & Best-Fitting Lines
Unit 2 Quantitative Interpretation of Correlation
Sleeping and Happiness
Presentation transcript:

You can calculate: Central tendency Variability You could graph the data

You can calculate: Central tendency Variability You could graph the data

Bivariate Distribution

Positive Correlation

Regression Line

Correlation r = 1.00

Regression Line..... r =.64

Regression Line.... r =.64.

Negative Correlation

r =

Negative Correlation..... r = -.85

Zero Correlation

..... r =.00

Correlation Coefficient The sign of a correlation (+ or -) only tells you the direction of the relationship The value of the correlation only tells you about the size of the relationship (i.e., how close the scores are to the regression line)

Which is a bigger effect? r =.40 or r = -.40 How are they different?

Interpreting an r value What is a “big r” Rule of thumb: Smallr =.10 Mediumr =.30 Larger =.50

Practice Do you think the following variables are positively, negatively or uncorrelated to each other? Alcohol consumption & Driving skills Miles of running a day & speed in a foot race Height & GPA Forearm length & foot length Test #1 score and Test#2 score

Practice –#6.8 –#6.5 1) Draw a scatter plot 2) Estimate the correlation

6.8 A) -.60 B) -.95 C).50 D).25

6.5 r =.51

.....

Statistics Needed Need to find the best place to draw the regression line on a scatter plot Need to quantify the cluster of scores around this regression line (i.e., the correlation coefficient)

Correlation Coefficient A correlation coefficient provides a quantitative way to express the degree of relationship between two variables There are 3 different formulas presented in the book Z-score formula is a good way to see “what's going on”

Blanched Formula XY = product of each X value multiplied by its paired Y value X = mean of variable X Y = mean of variable Y S x = standard deviation of variable X S y = standard deviation of variable Y N = number of pairs of observations r =

Mean Y = 4.6; S Y = 2.41 Mean X = 3.0; S X = 1.41

Blanched Formula  XY = 84 X = 3.0 Y = 4.6 S x = 1.41 S y = 2.41 N = 5 r =

Blanched Formula r = 84  XY = 84 X = 3.0 Y = 4.6 S x = 1.41 S y = 2.41 N = 5

Blanched Formula r =  XY = 84 X = 3.0 Y = 4.6 S x = 1.41 S y = 2.41 N = 5

Blanched Formula r =  XY = 84 X = 3.0 Y = 4.6 S x = 1.41 S y = 2.41 N =

Blanched Formula r =  XY = 84 X = 3.0 Y = 4.6 S x = 1.41 S y = 2.41 N = 5

Blanched Formula r =  XY = 84 X = 3.0 Y = 4.6 S x = 1.41 S y = 2.41 N = 5

Practice What is the relationship between aggression and happiness?

Mean aggression = 14.50; S aggression = 4.43 Mean happiness = 6.00; S happiness = 2.16

Blanched Formula  XY = 326 X = 6.0 Y = S x = 2.16 S y = 4.43 N = 4 r =

Blanched Formula -.57 =  XY = 326 X = 6.0 Y = S x = 2.16 S y = 4.43 N = 4