PPT-Chapter 9: Interpretative aspects of correlation and regres

Fun facts about the regression line Equation of regression line If we convert our X and Y scores to z x and z y the regression line through the zscores is Because the means of the zscores are zero and the standard deviations are 1. Philosophy 104. Positive Conclusions. Neither Necessary nor sufficient conditions are necessarily causes, however, they are likely candidates to be part or all of a causal explanation.. Some things, however, can be causes without being either necessary or sufficient.. Intro:. This section is going to focus on relationships among several variables for the same group of individuals. In these relationships, does one variable cause the other variable to change?. Explanatory Variable. Pitler. , Louis, . Nenkova. 2010. Presented by Dan . Feblowitz. and Jeremy B. Merrill. Motivation. Automatic evaluation of content selection is already done.. ROUGE: automated metric for info content. (Lin and . Scatterplots, Association, and Correlation. Objective. : To look for relationships between two quantitative variables. Scatterplots. Scatterplots. . may be the most common and most effective display for data. . Francesco Di . Iorio. Southeast. . University (Nanjing). 1. As understood by Hayek, MI uses . two assumptions to explain . these . phenomena. :. Human actions must be explained taking into account the meanings that individuals attach to them (interpretative approach / . Two Variable Statistics. Veronica Wright. Christy . Treekhem. River Brooks. The Big Idea. This chapter explains how scatterplots can be used to represent data in a variety of useful ways. They give good graphical representations of the relationship between the two variables and can be used to easily spot trends such as strength and direction and help to isolate outliers. Residual plots can also be used as a tool for determining how the variables interact. The LSRL, correlation, and correlation coefficient can be used to predict results based on the data and to mathematically prove just how accurate these predictions are. . Due 10/30/15. 42 Points. A regression line is a ________ line that describes how a __________ variable y changes as an ____________ variable x changes. You can use a regression line to predict the value of y for any value of x by substituting this x into the equation of the line.. a measure of the extent to which two variables change together.. How well does A predict B?. The correlation may be positive, negative, or have no relationship.. Correlation. A . positive correlation . The quick brown fox jumped over …. Introduction. The quick brown fox jumped over …. The quick brown fox jumped over …. Introduction. The quick brown fox jumped over …. Which is correct…. Summary of the measure of the characteristics of individuals in groups.. A descriptive statistic talks about a single characteristics within a given group. Lots of descriptive statistics are summarizing lots of characteristics but all within a given group.. RISK!. Scatterplots& Would you Rather. Each PAIR OF PARTNERS will begin with $500. You will see each problem for 10 seconds before deciding how much of your money you want to RISK…you will place your bet and share it with your neighboring partners that you are competing against.. 5A Part II- Product-Specific Rules Tariff Item Specific Rule SECTION I LIVE ANIMALS ANIMAL PRODUCTS Chapter 1- Chapter 1 Live animals 0101 - 0106 A change to heading 0101 through 0106 from an Fun facts about the regression line. Equation of regression line: . If we convert our X and Y scores to . z. x. and . z. y. , the regression line through the z-scores is:. Because the means of the z-scores are zero and the standard deviations are 1.. Simple Linear Regression. April 17, 2018. Correlation . analysis* . M. easuring the degree . of association between two . continuous variables. , x and . y. We . have a . linear relationship. between x and y .