Gotta Keep It Correlatin
|
|
- Lora Lee
- 6 years ago
- Views:
Transcription
1 Gotta Keep It Correlati Correlatio.2 Learig Goals I this lesso, ou will: Determie the correlatio coefficiet usig a formula. Iterpret the correlatio coefficiet for a set of data. ew Stud Liks Dark Chocolate to Heart Health. Video Games Show to NBoost I.Q. College Graduates Live Loger, New Stud Fids. You have probabl see or heard headlies similar to these i magazies, o TV, ad olie. Each oe of these headlies is the result of a correlatioal stud. I a correlatioal stud, researchers compare two variables to see how the are associated. The do this through the use of surves or eve b researchig documets such as medical records Caregie Learig What methods do ou thik researchers could have used to produce the results metioed i the headlies above? 533
2 Problem 1 Associate, Formulate, Correlate! Recall that data comparig two variables ca show a positive associatio, a egative associatio, or o associatio. 1. Describe the tpe of associatio betwee the idepedet ad depedet variables show o each scatterplot. The, draw a lie of best fit for each, if possible. a. Miles per Gallo Weight of Vehicle b. c. Height Grades o Algebra Test IQ Score Time Spet Studig 2012 Caregie Learig 534 Chapter Correlatio ad Residuals
3 A measure of how well a liear regressio lie fits a set of data is called correlatio. The correlatio coefficiet is a value betwee 21 ad 1 which idicates how close the data are to formig a straight lie. The closer the correlatio coefficiet is to 1 or 21, the stroger the liear relatioship is betwee the two variables. The variable r is used to represet the correlatio coefficiet. I remember that the correlatio coefficiet either falls betwee 1 ad 0 if the data show a egative associatio, or betwee 0 ad 1 if the data show a positive associatio. 2. Determie whether the poits i each scatter plot have a positive correlatio, a egative correlatio, or o correlatio. Four possible r-values are give. Circle the r-value ou thik is most appropriate. Eplai our reasoig for each. a. 8 7 r 5 0. r r r The closer the r-value gets to 0, the less of a liear relatioship there is i the data! 2012 Caregie Learig b r r r r Correlatio 535
4 c r 5 1 r r You ca calculate the correlatio coefficiet of a data set usig this formula: ( i 2 )( i ) r 5 ( i 2 ) 2 ( i ) 2 i51 i51 Most of the pieces of this formula look familiar. I thik we used them i the formula for stadard deviatio! Let s determie the correlatio coefficiet of this data set usig the formula. (23, 23), (1, 2) ad (3, 4) Look at the umerator of the formula first. ( i 2 )( i 2 ) Determie the mea of the -values ad the mea of the -values Keep i mid that the otatio just tells ou that ou will be determiig the sum of all the data values Caregie Learig 536 Chapter Correlatio ad Residuals
5 Notice these differeces are used throughout the formula. Determie the differece betwee each data value ad the mea for both the -coordiates ad the -coordiates. Determie the product of the differeces i each pair. The, determie the sum of those products. This is our umerator. ( i 2 ) ( ) ( ) ( ) ( i 2 )( i ) ( i 2 ) (23 2 1) 5 24 (2 2 1) 5 1 (4 2 1) 5 3 ( ? 24 ) ( 2 3? 1 ) ( 8 3? 3 ) 5 8 Now let s aalze the deomiator of the formula. ( i 2 ) 2 ( i ) 2 Determie the sum of the squares of the differeces betwee each value ad its mea. ( i 2 ) 2 ( ) ( 2 3 ) ( 8 3 ) ( i ) 2 (24) (1) (3) Caregie Learig Determie the square root of each sum. Determie the product of these two values. This is our deomiator. ( i 2 ) 2 ( i 2 ) ( i 2 ) 2 ( i ) 2 (4.32)(5.0) Correlatio 537
6 3. Put the pieces together. Determie the correlatio coefficiet of the data set. 4. Iterpret the correlatio coefficiet of the data set. Problem 2 The Doctor Will See You Now The Ceter for Disease Cotrol collected data o the percet of childre, aged 12 to 1, that were cosidered obese betwee the ears 171 ad The data are give i the table. Year Percet of Obese Childre What do ou otice as ou read through the data? Caregie Learig Chapter Correlatio ad Residuals
7 1. Idetif the idepedet ad depedet quatities i this problem situatio. 2. Costruct a scatter plot of the data usig our graphig calculator. a. Sketch the scatter plot. Label the aes. b. Do ou thik a liear regressio equatio would best describe this situatio? Eplai our reasoig. 3. Use a graphig calculator to determie whether a lie of best fit is appropriate for these data. a. Determie ad iterpret the liear regressio equatio. Wait! There s a r ad a r 2 value o m calculator. Which oe do I use? 2012 Caregie Learig b. Determie the correlatio coefficiet. c. Would a lie of best fit be appropriate for this data set? Eplai our reasoig..2 Correlatio 53
8 4. The amout of atibiotic that remais i our bod over a period of time varies from oe drug to the et. The table give shows the amout of Atibiotic X that remais i our bod over a period of two das. Time (hours) Amout of Atibiotic X i Bod (mg) a. Determie ad iterpret a liear regressio equatio for this data set. b. Determie ad iterpret the correlatio coefficiet of this data set. c. Does it seem appropriate to use a lie of best fit? If o, eplai our reasoig. If es, determie ad iterpret the least squares regressio equatio. d. Sketch a scatter plot of the data. Amout of Atibiotic X i the Bod (mg) Time (hours) e. Look at the graph of the data. Do ou still agree with our aswer to part (c)? Eplai our reasoig Caregie Learig Be prepared to share our solutios ad methods. 540 Chapter Correlatio ad Residuals
II. Descriptive Statistics D. Linear Correlation and Regression. 1. Linear Correlation
II. Descriptive Statistics D. Liear Correlatio ad Regressio I this sectio Liear Correlatio Cause ad Effect Liear Regressio 1. Liear Correlatio Quatifyig Liear Correlatio The Pearso product-momet correlatio
More informationa is some real number (called the coefficient) other
Precalculus Notes for Sectio.1 Liear/Quadratic Fuctios ad Modelig http://www.schooltube.com/video/77e0a939a3344194bb4f Defiitios: A moomial is a term of the form tha zero ad is a oegative iteger. a where
More informationName Date MIDTERM REVIEW II: SYSTEM OF EQUATIONS & INEQUALITIES, FUNCTIONS, LINE REGRESSION, AND LINEAR EQUATIONS
Name Date MIDTERM REVIEW II: SYSTEM OF EQUATIONS & INEQUALITIES, FUNCTIONS, LINE REGRESSION, AND LINEAR EQUATIONS 1.Which equatio is represeted b the graph? A. 5x 9 B. 8x 9 C. 5x 9 D. 8x 9 8 8 5 5 8 8
More informationResponse Variable denoted by y it is the variable that is to be predicted measure of the outcome of an experiment also called the dependent variable
Statistics Chapter 4 Correlatio ad Regressio If we have two (or more) variables we are usually iterested i the relatioship betwee the variables. Associatio betwee Variables Two variables are associated
More informationChapter 12 Correlation
Chapter Correlatio Correlatio is very similar to regressio with oe very importat differece. Regressio is used to explore the relatioship betwee a idepedet variable ad a depedet variable, whereas correlatio
More informationmultiplies all measures of center and the standard deviation and range by k, while the variance is multiplied by k 2.
Lesso 3- Lesso 3- Scale Chages of Data Vocabulary scale chage of a data set scale factor scale image BIG IDEA Multiplyig every umber i a data set by k multiplies all measures of ceter ad the stadard deviatio
More informationMth 95 Notes Module 1 Spring Section 4.1- Solving Systems of Linear Equations in Two Variables by Graphing, Substitution, and Elimination
Mth 9 Notes Module Sprig 4 Sectio 4.- Solvig Sstems of Liear Equatios i Two Variales Graphig, Sustitutio, ad Elimiatio A Solutio to a Sstem of Two (or more) Liear Equatios is the commo poit(s) of itersectio
More informationFirst, note that the LS residuals are orthogonal to the regressors. X Xb X y = 0 ( normal equations ; (k 1) ) So,
0 2. OLS Part II The OLS residuals are orthogoal to the regressors. If the model icludes a itercept, the orthogoality of the residuals ad regressors gives rise to three results, which have limited practical
More informationCALCULUS BASIC SUMMER REVIEW
CALCULUS BASIC SUMMER REVIEW NAME rise y y y Slope of a o vertical lie: m ru Poit Slope Equatio: y y m( ) The slope is m ad a poit o your lie is, ). ( y Slope-Itercept Equatio: y m b slope= m y-itercept=
More informationRegression, Inference, and Model Building
Regressio, Iferece, ad Model Buildig Scatter Plots ad Correlatio Correlatio coefficiet, r -1 r 1 If r is positive, the the scatter plot has a positive slope ad variables are said to have a positive relatioship
More informationEssential Question How can you recognize an arithmetic sequence from its graph?
. Aalyzig Arithmetic Sequeces ad Series COMMON CORE Learig Stadards HSF-IF.A.3 HSF-BF.A. HSF-LE.A. Essetial Questio How ca you recogize a arithmetic sequece from its graph? I a arithmetic sequece, the
More informationWorksheet 23 ( ) Introduction to Simple Linear Regression (continued)
Worksheet 3 ( 11.5-11.8) Itroductio to Simple Liear Regressio (cotiued) This worksheet is a cotiuatio of Discussio Sheet 3; please complete that discussio sheet first if you have ot already doe so. This
More informationST 305: Exam 3 ( ) = P(A)P(B A) ( ) = P(A) + P(B) ( ) = 1 P( A) ( ) = P(A) P(B) σ X 2 = σ a+bx. σ ˆp. σ X +Y. σ X Y. σ X. σ Y. σ n.
ST 305: Exam 3 By hadig i this completed exam, I state that I have either give or received assistace from aother perso durig the exam period. I have used o resources other tha the exam itself ad the basic
More informationContinuous Functions
Cotiuous Fuctios Q What does it mea for a fuctio to be cotiuous at a poit? Aswer- I mathematics, we have a defiitio that cosists of three cocepts that are liked i a special way Cosider the followig defiitio
More informationChapter 4 - Summarizing Numerical Data
Chapter 4 - Summarizig Numerical Data 15.075 Cythia Rudi Here are some ways we ca summarize data umerically. Sample Mea: i=1 x i x :=. Note: i this class we will work with both the populatio mea µ ad the
More informationDr. Maddah ENMG 617 EM Statistics 11/26/12. Multiple Regression (2) (Chapter 15, Hines)
Dr Maddah NMG 617 M Statistics 11/6/1 Multiple egressio () (Chapter 15, Hies) Test for sigificace of regressio This is a test to determie whether there is a liear relatioship betwee the depedet variable
More informationEXAMINATIONS OF THE ROYAL STATISTICAL SOCIETY
EXAMINATIONS OF THE ROYAL STATISTICAL SOCIETY HIGHER CERTIFICATE IN STATISTICS, 017 MODULE 4 : Liear models Time allowed: Oe ad a half hours Cadidates should aswer THREE questios. Each questio carries
More informationLinear Regression Analysis. Analysis of paired data and using a given value of one variable to predict the value of the other
Liear Regressio Aalysis Aalysis of paired data ad usig a give value of oe variable to predict the value of the other 5 5 15 15 1 1 5 5 1 3 4 5 6 7 8 1 3 4 5 6 7 8 Liear Regressio Aalysis E: The chirp rate
More information7.1 Finding Rational Solutions of Polynomial Equations
Name Class Date 7.1 Fidig Ratioal Solutios of Polyomial Equatios Essetial Questio: How do you fid the ratioal roots of a polyomial equatio? Resource Locker Explore Relatig Zeros ad Coefficiets of Polyomial
More informationSTP 226 ELEMENTARY STATISTICS
TP 6 TP 6 ELEMENTARY TATITIC CHAPTER 4 DECRIPTIVE MEAURE IN REGREION AND CORRELATION Liear Regressio ad correlatio allows us to examie the relatioship betwee two or more quatitative variables. 4.1 Liear
More informationPaired Data and Linear Correlation
Paired Data ad Liear Correlatio Example. A group of calculus studets has take two quizzes. These are their scores: Studet st Quiz Score ( data) d Quiz Score ( data) 7 5 5 0 3 0 3 4 0 5 5 5 5 6 0 8 7 0
More informationCorrelation Regression
Correlatio Regressio While correlatio methods measure the stregth of a liear relatioship betwee two variables, we might wish to go a little further: How much does oe variable chage for a give chage i aother
More information3/3/2014. CDS M Phil Econometrics. Types of Relationships. Types of Relationships. Types of Relationships. Vijayamohanan Pillai N.
3/3/04 CDS M Phil Old Least Squares (OLS) Vijayamohaa Pillai N CDS M Phil Vijayamoha CDS M Phil Vijayamoha Types of Relatioships Oly oe idepedet variable, Relatioship betwee ad is Liear relatioships Curviliear
More informationLyman Memorial High School. Honors Pre-Calculus Prerequisite Packet. Name:
Lyma Memorial High School Hoors Pre-Calculus Prerequisite Packet 2018 Name: Dear Hoors Pre-Calculus Studet, Withi this packet you will fid mathematical cocepts ad skills covered i Algebra I, II ad Geometry.
More informationWe will conclude the chapter with the study a few methods and techniques which are useful
Chapter : Coordiate geometry: I this chapter we will lear about the mai priciples of graphig i a dimesioal (D) Cartesia system of coordiates. We will focus o drawig lies ad the characteristics of the graphs
More information11 Correlation and Regression
11 Correlatio Regressio 11.1 Multivariate Data Ofte we look at data where several variables are recorded for the same idividuals or samplig uits. For example, at a coastal weather statio, we might record
More informationMATH CALCULUS II Objectives and Notes for Test 4
MATH 44 - CALCULUS II Objectives ad Notes for Test 4 To do well o this test, ou should be able to work the followig tpes of problems. Fid a power series represetatio for a fuctio ad determie the radius
More informationChapter If n is odd, the median is the exact middle number If n is even, the median is the average of the two middle numbers
Chapter 4 4-1 orth Seattle Commuity College BUS10 Busiess Statistics Chapter 4 Descriptive Statistics Summary Defiitios Cetral tedecy: The extet to which the data values group aroud a cetral value. Variatio:
More informationP.3 Polynomials and Special products
Precalc Fall 2016 Sectios P.3, 1.2, 1.3, P.4, 1.4, P.2 (radicals/ratioal expoets), 1.5, 1.6, 1.7, 1.8, 1.1, 2.1, 2.2 I Polyomial defiitio (p. 28) a x + a x +... + a x + a x 1 1 0 1 1 0 a x + a x +... +
More informationRegression, Part I. A) Correlation describes the relationship between two variables, where neither is independent or a predictor.
Regressio, Part I I. Differece from correlatio. II. Basic idea: A) Correlatio describes the relatioship betwee two variables, where either is idepedet or a predictor. - I correlatio, it would be irrelevat
More informationTABLES AND FORMULAS FOR MOORE Basic Practice of Statistics
TABLES AND FORMULAS FOR MOORE Basic Practice of Statistics Explorig Data: Distributios Look for overall patter (shape, ceter, spread) ad deviatios (outliers). Mea (use a calculator): x = x 1 + x 2 + +
More informationNorthwest High School s Algebra 2/Honors Algebra 2 Summer Review Packet
Northwest High School s Algebra /Hoors Algebra Summer Review Packet This packet is optioal! It will NOT be collected for a grade et school year! This packet has bee desiged to help you review various mathematical
More informationSTA Learning Objectives. Population Proportions. Module 10 Comparing Two Proportions. Upon completing this module, you should be able to:
STA 2023 Module 10 Comparig Two Proportios Learig Objectives Upo completig this module, you should be able to: 1. Perform large-sample ifereces (hypothesis test ad cofidece itervals) to compare two populatio
More information( ) 2 + k The vertex is ( h, k) ( )( x q) The x-intercepts are x = p and x = q.
A Referece Sheet Number Sets Quadratic Fuctios Forms Form Equatio Stadard Form Vertex Form Itercept Form y ax + bx + c The x-coordiate of the vertex is x b a y a x h The axis of symmetry is x b a + k The
More informationCorrelation and Covariance
Correlatio ad Covariace Tom Ilveto FREC 9 What is Next? Correlatio ad Regressio Regressio We specify a depedet variable as a liear fuctio of oe or more idepedet variables, based o co-variace Regressio
More informationSTP 226 EXAMPLE EXAM #1
STP 226 EXAMPLE EXAM #1 Istructor: Hoor Statemet: I have either give or received iformatio regardig this exam, ad I will ot do so util all exams have bee graded ad retured. PRINTED NAME: Siged Date: DIRECTIONS:
More informationS Y Y = ΣY 2 n. Using the above expressions, the correlation coefficient is. r = SXX S Y Y
1 Sociology 405/805 Revised February 4, 004 Summary of Formulae for Bivariate Regressio ad Correlatio Let X be a idepedet variable ad Y a depedet variable, with observatios for each of the values of these
More informationDAWSON COLLEGE DEPARTMENT OF MATHEMATICS 201-BZS-05 PROBABILITY AND STATISTICS FALL 2015 FINAL EXAM
DAWSON COLLEGE DEPARTMENT OF MATHEMATICS 201-BZS-05 PROBABILITY AND STATISTICS FALL 2015 FINAL EXAM Name: Date: December 24th, 2015 Studet Number: Time: 9:30 12:30 Grade: / 116 Examier: Matthew MARCHANT
More informationG r a d e 1 1 P r e - C a l c u l u s M a t h e m a t i c s ( 3 0 S )
G r a d e 1 1 P r e - C a l c u l u s M a t h e m a t i c s ( 3 0 S ) Grade 11 Pre-Calculus Mathematics (30S) is desiged for studets who ited to study calculus ad related mathematics as part of post-secodary
More informationSummary: CORRELATION & LINEAR REGRESSION. GC. Students are advised to refer to lecture notes for the GC operations to obtain scatter diagram.
Key Cocepts: 1) Sketchig of scatter diagram The scatter diagram of bivariate (i.e. cotaiig two variables) data ca be easily obtaied usig GC. Studets are advised to refer to lecture otes for the GC operatios
More informationFinal Examination Solutions 17/6/2010
The Islamic Uiversity of Gaza Faculty of Commerce epartmet of Ecoomics ad Political Scieces A Itroductio to Statistics Course (ECOE 30) Sprig Semester 009-00 Fial Eamiatio Solutios 7/6/00 Name: I: Istructor:
More informationUniversity of California, Los Angeles Department of Statistics. Simple regression analysis
Uiversity of Califoria, Los Ageles Departmet of Statistics Statistics 100C Istructor: Nicolas Christou Simple regressio aalysis Itroductio: Regressio aalysis is a statistical method aimig at discoverig
More informationOpen book and notes. 120 minutes. Cover page and six pages of exam. No calculators.
IE 330 Seat # Ope book ad otes 120 miutes Cover page ad six pages of exam No calculators Score Fial Exam (example) Schmeiser Ope book ad otes No calculator 120 miutes 1 True or false (for each, 2 poits
More informationContinuous Data that can take on any real number (time/length) based on sample data. Categorical data can only be named or categorised
Questio 1. (Topics 1-3) A populatio cosists of all the members of a group about which you wat to draw a coclusio (Greek letters (μ, σ, Ν) are used) A sample is the portio of the populatio selected for
More informationLinear Regression Models
Liear Regressio Models Dr. Joh Mellor-Crummey Departmet of Computer Sciece Rice Uiversity johmc@cs.rice.edu COMP 528 Lecture 9 15 February 2005 Goals for Today Uderstad how to Use scatter diagrams to ispect
More informationLeast-Squares Regression
MATH 482 Least-Squares Regressio Dr. Neal, WKU As well as fidig the correlatio of paired sample data {{ x 1, y 1 }, { x 2, y 2 },..., { x, y }}, we also ca plot the data with a scatterplot ad fid the least
More informationIsmor Fischer, 1/11/
Ismor Fischer, //04 7.4-7.4 Problems. I Problem 4.4/9, it was show that importat relatios exist betwee populatio meas, variaces, ad covariace. Specifically, we have the formulas that appear below left.
More informationExponential and Trigonometric Functions Lesson #1
Epoetial ad Trigoometric Fuctios Lesso # Itroductio To Epoetial Fuctios Cosider a populatio of 00 mice which is growig uder plague coditios. If the mouse populatio doubles each week we ca costruct a table
More informationU8L1: Sec Equations of Lines in R 2
MCVU U8L: Sec. 8.9. Equatios of Lies i R Review of Equatios of a Straight Lie (-D) Cosider the lie passig through A (-,) with slope, as show i the diagram below. I poit slope form, the equatio of the lie
More informationTopic 9: Sampling Distributions of Estimators
Topic 9: Samplig Distributios of Estimators Course 003, 2016 Page 0 Samplig distributios of estimators Sice our estimators are statistics (particular fuctios of radom variables), their distributio ca be
More informationAlgebra of Least Squares
October 19, 2018 Algebra of Least Squares Geometry of Least Squares Recall that out data is like a table [Y X] where Y collects observatios o the depedet variable Y ad X collects observatios o the k-dimesioal
More informationBecause it tests for differences between multiple pairs of means in one test, it is called an omnibus test.
Math 308 Sprig 018 Classes 19 ad 0: Aalysis of Variace (ANOVA) Page 1 of 6 Itroductio ANOVA is a statistical procedure for determiig whether three or more sample meas were draw from populatios with equal
More informationTennessee Department of Education
Teessee Departmet of Educatio Task: Comparig Shapes Geometry O a piece of graph paper with a coordiate plae, draw three o-colliear poits ad label them A, B, C. (Do ot use the origi as oe of your poits.)
More informationStatistical Properties of OLS estimators
1 Statistical Properties of OLS estimators Liear Model: Y i = β 0 + β 1 X i + u i OLS estimators: β 0 = Y β 1X β 1 = Best Liear Ubiased Estimator (BLUE) Liear Estimator: β 0 ad β 1 are liear fuctio of
More informationTMA4245 Statistics. Corrected 30 May and 4 June Norwegian University of Science and Technology Department of Mathematical Sciences.
Norwegia Uiversity of Sciece ad Techology Departmet of Mathematical Scieces Corrected 3 May ad 4 Jue Solutios TMA445 Statistics Saturday 6 May 9: 3: Problem Sow desity a The probability is.9.5 6x x dx
More informationUnderstanding Dissimilarity Among Samples
Aoucemets: Midterm is Wed. Review sheet is o class webpage (i the list of lectures) ad will be covered i discussio o Moday. Two sheets of otes are allowed, same rules as for the oe sheet last time. Office
More information6.3 Testing Series With Positive Terms
6.3. TESTING SERIES WITH POSITIVE TERMS 307 6.3 Testig Series With Positive Terms 6.3. Review of what is kow up to ow I theory, testig a series a i for covergece amouts to fidig the i= sequece of partial
More informationDept. of maths, MJ College.
8. CORRELATION Defiitios: 1. Correlatio Aalsis attempts to determie the degree of relatioship betwee variables- Ya-Ku-Chou.. Correlatio is a aalsis of the covariatio betwee two or more variables.- A.M.Tuttle.
More informationNumber of fatalities X Sunday 4 Monday 6 Tuesday 2 Wednesday 0 Thursday 3 Friday 5 Saturday 8 Total 28. Day
LECTURE # 8 Mea Deviatio, Stadard Deviatio ad Variace & Coefficiet of variatio Mea Deviatio Stadard Deviatio ad Variace Coefficiet of variatio First, we will discuss it for the case of raw data, ad the
More informationBivariate Sample Statistics Geog 210C Introduction to Spatial Data Analysis. Chris Funk. Lecture 7
Bivariate Sample Statistics Geog 210C Itroductio to Spatial Data Aalysis Chris Fuk Lecture 7 Overview Real statistical applicatio: Remote moitorig of east Africa log rais Lead up to Lab 5-6 Review of bivariate/multivariate
More information4755 Mark Scheme June Question Answer Marks Guidance M1* Attempt to find M or 108M -1 M 108 M1 A1 [6] M1 A1
4755 Mark Scheme Jue 05 * Attempt to fid M or 08M - M 08 8 4 * Divide by their determiat,, at some stage Correct determiat, (A0 for det M= 08 stated, all other OR 08 8 4 5 8 7 5 x, y,oe 8 7 4xy 8xy dep*
More informationOverview. p 2. Chapter 9. Pooled Estimate of. q = 1 p. Notation for Two Proportions. Inferences about Two Proportions. Assumptions
Chapter 9 Slide Ifereces from Two Samples 9- Overview 9- Ifereces about Two Proportios 9- Ifereces about Two Meas: Idepedet Samples 9-4 Ifereces about Matched Pairs 9-5 Comparig Variatio i Two Samples
More informationMATHEMATICS: PAPER III (LO 3 AND LO 4) PLEASE READ THE FOLLOWING INSTRUCTIONS CAREFULLY
NATIONAL SENIOR CERTIFICATE EXAMINATION EXEMPLAR 008 MATHEMATICS: PAPER III (LO 3 AND LO 4) Time: 3 hours 100 marks PLEASE READ THE FOLLOWING INSTRUCTIONS CAREFULLY 1. This questio paper cosists of 16
More informationEconomics 250 Assignment 1 Suggested Answers. 1. We have the following data set on the lengths (in minutes) of a sample of long-distance phone calls
Ecoomics 250 Assigmet 1 Suggested Aswers 1. We have the followig data set o the legths (i miutes) of a sample of log-distace phoe calls 1 20 10 20 13 23 3 7 18 7 4 5 15 7 29 10 18 10 10 23 4 12 8 6 (1)
More informationLecture 6 Chi Square Distribution (χ 2 ) and Least Squares Fitting
Lecture 6 Chi Square Distributio (χ ) ad Least Squares Fittig Chi Square Distributio (χ ) Suppose: We have a set of measuremets {x 1, x, x }. We kow the true value of each x i (x t1, x t, x t ). We would
More informationAcademic. Grade 9 Assessment of Mathematics. Released assessment Questions
Academic Grade 9 Assessmet of Mathematics 2014 Released assessmet Questios Record your aswers to the multiple-choice questios o the Studet Aswer Sheet (2014, Academic). Please ote: The format of this booklet
More informationLecture 11 Simple Linear Regression
Lecture 11 Simple Liear Regressio Fall 2013 Prof. Yao Xie, yao.xie@isye.gatech.edu H. Milto Stewart School of Idustrial Systems & Egieerig Georgia Tech Midterm 2 mea: 91.2 media: 93.75 std: 6.5 2 Meddicorp
More informationMost text will write ordinary derivatives using either Leibniz notation 2 3. y + 5y= e and y y. xx tt t
Itroductio to Differetial Equatios Defiitios ad Termiolog Differetial Equatio: A equatio cotaiig the derivatives of oe or more depedet variables, with respect to oe or more idepedet variables, is said
More informationIntroduction to Signals and Systems, Part V: Lecture Summary
EEL33: Discrete-Time Sigals ad Systems Itroductio to Sigals ad Systems, Part V: Lecture Summary Itroductio to Sigals ad Systems, Part V: Lecture Summary So far we have oly looked at examples of o-recursive
More informationThe Method of Least Squares. To understand least squares fitting of data.
The Method of Least Squares KEY WORDS Curve fittig, least square GOAL To uderstad least squares fittig of data To uderstad the least squares solutio of icosistet systems of liear equatios 1 Motivatio Curve
More information1 Inferential Methods for Correlation and Regression Analysis
1 Iferetial Methods for Correlatio ad Regressio Aalysis I the chapter o Correlatio ad Regressio Aalysis tools for describig bivariate cotiuous data were itroduced. The sample Pearso Correlatio Coefficiet
More informationMA Lesson 26 Notes Graphs of Rational Functions (Asymptotes) Limits at infinity
MA 1910 Lesso 6 Notes Graphs of Ratioal Fuctios (Asymptotes) Limits at ifiity Defiitio of a Ratioal Fuctio: If P() ad Q() are both polyomial fuctios, Q() 0, the the fuctio f below is called a Ratioal Fuctio.
More informationNATIONAL SENIOR CERTIFICATE EXAMINATION MATHEMATICS P2 SEPTEMBER 2016 GRADE 12. This question paper consists of 13 pages including the formula sheet
NATIONAL SENIOR CERTIFICATE EXAMINATION MATHEMATICS P SEPTEMBER 06 GRADE MARKS: 50 TIME: 3 Hours This questio paper cosists of 3 pages icludig the formula sheet Mathematics/P September 06 INSTRUCTIONS
More informationPearson Edexcel Level 3 Advanced Subsidiary and Advanced GCE in Statistics
Pearso Edecel Level 3 Advaced Subsidiary ad Advaced GCE i Statistics Statistical formulae ad tables For first certificatio from Jue 018 for: Advaced Subsidiary GCE i Statistics (8ST0) For first certificatio
More informationLecture 6 Chi Square Distribution (χ 2 ) and Least Squares Fitting
Lecture 6 Chi Square Distributio (χ ) ad Least Squares Fittig Chi Square Distributio (χ ) Suppose: We have a set of measuremets {x 1, x, x }. We kow the true value of each x i (x t1, x t, x t ). We would
More informationMeasures of Spread: Standard Deviation
Measures of Spread: Stadard Deviatio So far i our study of umerical measures used to describe data sets, we have focused o the mea ad the media. These measures of ceter tell us the most typical value of
More informationU8L1: Sec Equations of Lines in R 2
MCVU Thursda Ma, Review of Equatios of a Straight Lie (-D) U8L Sec. 8.9. Equatios of Lies i R Cosider the lie passig through A (-,) with slope, as show i the diagram below. I poit slope form, the equatio
More informationPolynomial Functions and Their Graphs
Polyomial Fuctios ad Their Graphs I this sectio we begi the study of fuctios defied by polyomial expressios. Polyomial ad ratioal fuctios are the most commo fuctios used to model data, ad are used extesively
More informationTABLES AND FORMULAS FOR MOORE Basic Practice of Statistics
TABLES AND FORMULAS FOR MOORE Basic Practice of Statistics Explorig Data: Distributios Look for overall patter (shape, ceter, spread) ad deviatios (outliers). Mea (use a calculator): x = x 1 + x 2 + +
More informationSIMPLE LINEAR REGRESSION AND CORRELATION ANALYSIS
SIMPLE LINEAR REGRESSION AND CORRELATION ANALSIS INTRODUCTION There are lot of statistical ivestigatio to kow whether there is a relatioship amog variables Two aalyses: (1) regressio aalysis; () correlatio
More information24.1 Confidence Intervals and Margins of Error
24.1 Cofidece Itervals ad Margis of Error Essetial Questio: How do you calculate a cofidece iterval ad a margi of error for a populatio proportio or populatio mea? Resource Locker Explore Idetifyig Likely
More informationLESSON 2: SIMPLIFYING RADICALS
High School: Workig with Epressios LESSON : SIMPLIFYING RADICALS N.RN.. C N.RN.. B 5 5 C t t t t t E a b a a b N.RN.. 4 6 N.RN. 4. N.RN. 5. N.RN. 6. 7 8 N.RN. 7. A 7 N.RN. 8. 6 80 448 4 5 6 48 00 6 6 6
More informationAP CALCULUS AB 2003 SCORING GUIDELINES (Form B)
SCORING GUIDELINES (Form B) Questio 5 Let f be a fuctio defied o the closed iterval [,7]. The graph of f, cosistig of four lie segmets, is show above. Let g be the fuctio give by g ftdt. (a) Fid g (, )
More informationAlgebra II Notes Unit Seven: Powers, Roots, and Radicals
Syllabus Objectives: 7. The studets will use properties of ratioal epoets to simplify ad evaluate epressios. 7.8 The studet will solve equatios cotaiig radicals or ratioal epoets. b a, the b is the radical.
More information3.2 Properties of Division 3.3 Zeros of Polynomials 3.4 Complex and Rational Zeros of Polynomials
Math 60 www.timetodare.com 3. Properties of Divisio 3.3 Zeros of Polyomials 3.4 Complex ad Ratioal Zeros of Polyomials I these sectios we will study polyomials algebraically. Most of our work will be cocered
More informationAssessment and Modeling of Forests. FR 4218 Spring Assignment 1 Solutions
Assessmet ad Modelig of Forests FR 48 Sprig Assigmet Solutios. The first part of the questio asked that you calculate the average, stadard deviatio, coefficiet of variatio, ad 9% cofidece iterval of the
More informationREGRESSION (Physics 1210 Notes, Partial Modified Appendix A)
REGRESSION (Physics 0 Notes, Partial Modified Appedix A) HOW TO PERFORM A LINEAR REGRESSION Cosider the followig data poits ad their graph (Table I ad Figure ): X Y 0 3 5 3 7 4 9 5 Table : Example Data
More informationGRADE 12 SEPTEMBER 2012 MATHEMATICS P2
Provice of the EASTERN CAPE EDUCATION NATIONAL SENIOR CERTIFICATE GRADE SEPTEMBER 0 MATHEMATICS P MARKS: 50 TIME: 3 hours *MATHE* This questio paper cosists of 4 pages, icludig a formula sheet ad 4 diagram
More informationINSTRUCTIONS (A) 1.22 (B) 0.74 (C) 4.93 (D) 1.18 (E) 2.43
PAPER NO.: 444, 445 PAGE NO.: Page 1 of 1 INSTRUCTIONS I. You have bee provided with: a) the examiatio paper i two parts (PART A ad PART B), b) a multiple choice aswer sheet (for PART A), c) selected formulae
More informationChapter Vectors
Chapter 4. Vectors fter readig this chapter you should be able to:. defie a vector. add ad subtract vectors. fid liear combiatios of vectors ad their relatioship to a set of equatios 4. explai what it
More informationData Analysis and Statistical Methods Statistics 651
Data Aalysis ad Statistical Methods Statistics 651 http://www.stat.tamu.edu/~suhasii/teachig.html Suhasii Subba Rao Review of testig: Example The admistrator of a ursig home wats to do a time ad motio
More informationMath 105: Review for Final Exam, Part II - SOLUTIONS
Math 5: Review for Fial Exam, Part II - SOLUTIONS. Cosider the fuctio f(x) = x 3 lx o the iterval [/e, e ]. (a) Fid the x- ad y-coordiates of ay ad all local extrema ad classify each as a local maximum
More informationMATHEMATICS 9740 (HIGHER 2)
VICTORIA JUNIOR COLLEGE PROMOTIONAL EXAMINATION MATHEMATICS 970 (HIGHER ) Frida 6 Sept 0 8am -am hours Additioal materials: Aswer Paper List of Formulae (MF5) READ THESE INSTRUCTIONS FIRST Write our ame
More informationSection 14. Simple linear regression.
Sectio 14 Simple liear regressio. Let us look at the cigarette dataset from [1] (available to dowload from joural s website) ad []. The cigarette dataset cotais measuremets of tar, icotie, weight ad carbo
More informationIn exercises 1 and 2, (a) write the repeating decimal as a geometric series and (b) write its sum as the ratio of two integers _
Chapter 9 Curve I eercises ad, (a) write the repeatig decimal as a geometric series ad (b) write its sum as the ratio of two itegers _.9.976 Distace A ball is dropped from a height of 8 meters. Each time
More informationUnit 4: Polynomial and Rational Functions
48 Uit 4: Polyomial ad Ratioal Fuctios Polyomial Fuctios A polyomial fuctio y px ( ) is a fuctio of the form p( x) ax + a x + a x +... + ax + ax+ a 1 1 1 0 where a, a 1,..., a, a1, a0are real costats ad
More informationSolutions to Odd Numbered End of Chapter Exercises: Chapter 4
Itroductio to Ecoometrics (3 rd Updated Editio) by James H. Stock ad Mark W. Watso Solutios to Odd Numbered Ed of Chapter Exercises: Chapter 4 (This versio July 2, 24) Stock/Watso - Itroductio to Ecoometrics
More informationChapter 2 Feedback Control Theory Continued
Chapter Feedback Cotrol Theor Cotiued. Itroductio I the previous chapter, the respose characteristic of simple first ad secod order trasfer fuctios were studied. It was show that first order trasfer fuctio,
More informationStat 139 Homework 7 Solutions, Fall 2015
Stat 139 Homework 7 Solutios, Fall 2015 Problem 1. I class we leared that the classical simple liear regressio model assumes the followig distributio of resposes: Y i = β 0 + β 1 X i + ɛ i, i = 1,...,,
More informationNATIONAL SENIOR CERTIFICATE GRADE 12
NATIONAL SENIOR CERTIFICATE GRADE MATHEMATICS P FEBRUARY/MARCH 03 MARKS: 50 TIME: 3 hours This questio paper cosists of pages, 3 diagram sheets ad iformatio sheet. Please tur over Mathematics/P DBE/Feb.
More information