PPT-Correlation Investigation

Reading vs Spelling Hypotheses The fastest readers are better at spelling Slower readers spell better Spelling Test You will hear 20 words read out loud Write the spellings for each in your books. Chapter 10. Outline . Section 10-1 Introduction. Section 10-2 Scatter Plots. Section 10-3 Correlation. Section 10-4 Regression. Section 10-5 Coefficient of Determination and Standard Error of the Estimate. Cum hoc ergo propter hoc:. . “With this, therefore because of this”. Correlation. A . relation existing between phenomena or things or between mathematical or statistical variables which tend to vary, be associated, or occur together in a way not expected on the basis of chance . Pb+Pb. collisions. Victor Roy. ITP Goethe . University Frankfurt. In collaboration with. L-G Pang, G-Y Qin, X-N Wang and G-L Ma. Plan of the talk. Motivation. Dynamical models . -3+1 D Ideal Hydro . An Application. Dr. Jerrell T. Stracener, . SAE Fellow. Leadership in Engineering. EMIS 7370/5370 STAT 5340 :. . . PROBABILITY AND STATISTICS FOR SCIENTISTS AND ENGINEERS. Systems Engineering Program. Coefficient. &. Line of Best Fit. . We first need to make . sure the . calculator is . CL. ea. R. . of all . previous content. . We first need to make . sure the . calculator is . CL. ea. R. . They replace the value of an image pixel with a combination of its neighbors. Basic operations in images. Shift Invariant. Linear. Thanks to David Jacobs for the use of some slides. Consider 1D images. Pinyan Lu . Microsoft Research Asia. Joint with . Liang Li (Peking University) . Yitong Yin (Nanjing University). Spin Systems. System . and spin states . Configuration . Edge function . Vertex function b: [q]->. Once you know the correlation coefficient for your sample, you might want to determine whether this correlation occurred by chance.. Or does the relationship you found in your sample really exist in the population or were your results a fluke?. What is Correlation Analysis?. Testing the Significance of the Correlation Coefficient . Regression Analysis. The Standard Error of Estimate . Assumptions Underlying Linear Regression. Confidence and Prediction Intervals. Objective. : To look for relationships between two quantitative variables. Scatterplots. Scatterplots. . may be the most common and most effective display for data. . In a scatterplot, you can see patterns, trends, relationships, and even the occasional extraordinary value sitting apart from the others.. Correlation and regression are powerful tools, but have limitations.. Correlation and regression describe only linear relationship.. Correlation r and the least-squares regression are not resistant. . Zhirong. . Shen. . , Patrick Lee. . , . Jiwu. . Shu. $. , and . Wenzhong. . Guo. *. . The Chinese University of Hong Kong. $. Tsinghua University. *Fuzhou University. Presented at IEEE SRDS’17. 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.. Mary Forsythe, Graeme Kelly, Javier Garcia Pereda. IWW14, 24/04/2018. www.metoffice.gov.uk © Crown Copyright 2017, Met Office. © Crown copyright Met Office.