'Sample correlation' presentation slideshows

Correlation and Simple Linear Regression

1.06k views • 65 slides

Regression

Chapter 10. Regression. Understandable Statistics Ninth Edition By Brase and Brase Prepared by Yixun Shi Bloomsburg University of Pennsylvania. Scatter Diagrams. A graph in which pairs of points, (x, y), are plotted with x on the horizontal axis and y on the vertical axis.

578 views • 57 slides

Lesson Objectives

Lesson Objectives. Know what the equation of a straight line is, in terms of slope and y-intercept . Learn how find the equation of the least squares regression line . Know how to draw a regression line on a scatterplot.

622 views • 52 slides

Chapter 2: Looking at Data - Relationships

Chapter 2: Looking at Data - Relationships. http://www.forbes.com/sites/erikaandersen/2012/03/23 /true-fact-the-lack-of-pirates-is-causing-global-warming/. General Procedure. Plot the data. Look for the overall pattern. Calculate a numeric summary.

663 views • 51 slides

Chapter 4 Describing the Relation Between Two Variables

Chapter 4 Describing the Relation Between Two Variables. 4.1 Scatter Diagrams; Correlation. Bivariate data is data in which two variables are measured on an individual.

672 views • 38 slides

STAT 101: Day 5 Descriptive Statistics II 1/30/12

STAT 101: Day 5 Descriptive Statistics II 1/30/12. One Quantitative Variable (continued) Quantitative with a Categorical Variable Two Quantitative Variables. Section 2.3, 2.4, 2.5. Professor Kari Lock Morgan Duke University. Clicker Registration.

486 views • 33 slides

STAT 101: Day 5 Descriptive Statistics II 1/30/12

STAT 101: Day 5 Descriptive Statistics II 1/30/12. One Quantitative Variable (continued) Quantitative with a Categorical Variable Two Quantitative Variables. Section 2.3, 2.4, 2.5. Professor Kari Lock Morgan Duke University. Clicker Registration.

474 views • 33 slides

640 views • 31 slides

Upscaling Interpretation of Proxy Data

535 views • 30 slides

Chapter 4 Describing the Relation Between Two Variables

Chapter 4 Describing the Relation Between Two Variables. 4.1 Scatter Diagrams; Correlation. Bivariate data is data in which two variables are measured on an individual.

422 views • 28 slides

Ch.6 Simple Linear Regression: Continued

Ch.6 Simple Linear Regression: Continued. To complete the analysis of the simple linear regression model, in this chapter we will consider how to measure the variation in y t , that is explained by the model how to report the results of a regression analysis

392 views • 23 slides

REAL-TIME INDEPENDENT COMPONENT ANALYSIS IMPLEMENTATION AND APPLICATIONS By

REAL-TIME INDEPENDENT COMPONENT ANALYSIS IMPLEMENTATION AND APPLICATIONS By MARCOS DE AZAMBUJA TURQUETI turqueti@fnal.gov FERMILAB May 2010. What is it?.

331 views • 21 slides

Ch.6 Simple Linear Regression: Continued

Ch.6 Simple Linear Regression: Continued. To complete the analysis of the simple linear regression model, in this chapter we will consider how to measure the variation in y t , that is explained by the model how to report the results of a regression analysis

306 views • 21 slides

Issues in Interpreting Correlations:

Issues in Interpreting Correlations:. Correlation does not imply causality: X might cause Y. Y might cause X. Z (or a whole set of factors) might cause both X and Y. Factors affecting the size of a correlation coefficient: 1. Sample size and random variation:

215 views • 20 slides

Chapter 7

Chapter 7. Correlation. Suppose we found the age and weight of a sample of 10 adults. Create a scatterplot of the data below. Is there any relationship between the age and weight of these adults?. Suppose we found the height and weight of a sample of 10 adults.

215 views • 15 slides

Correlation & Regression

Correlation & Regression. Correlation. Measure the strength of linear relation between 2 random variables (X & Y) ? = Corr(X,Y) = Cov(X,Y)/ ? x ? y = E[(X- ? x )(Y- ? y )]/[(X- ? x ) 2 (Y- ? y ) 2 ] 1/2 Standardized Cov(X,Y) so -1? ? ? 1. Strength of ?.

229 views • 14 slides

Chapter 5

Chapter 5. Correlation. Suppose we found the age and weight of a sample of 10 adults. Create a scatterplot of the data below. Is there any relationship between the age and weight of these adults?. Suppose we found the height and weight of a sample of 10 adults.

224 views • 14 slides

BA 275 Quantitative Business Methods

BA 275 Quantitative Business Methods. Agenda. Simple Linear Regression Introduction Case Study: Housing Prices Final Examination 7:30A.M., Thursday, 12/ 7/2006 Owen 102 Check the seating chart when you arrive. Open book/notes. Need a calculator.

245 views • 12 slides

Correlation

Correlation. Review. We saw in the past that when you have two numeric or quantitative variables one thing to explore is the correlation between the two variables. The basic idea is to see if as one variable changes is there a systematic change in the other variable.

158 views • 6 slides

What If You Reject H 0 ?

What If You Reject H 0 ?. S = 0.2 M = 0.5 L = 0.8. How much different is Second Population from which Your Sample Is derived? d is a rati o (Comparison) of group differences to individual differences within Each group. Is Your Correlation Significant. r is the Sample correlation

158 views • 4 slides