Homework 11. Part 1. Name: Score: / null



Similar documents
Correlation. What Is Correlation? Perfect Correlation. Perfect Correlation. Greg C Elvers

ch12 practice test SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.

January 26, 2009 The Faculty Center for Teaching and Learning

Univariate Regression

Correlation Coefficient The correlation coefficient is a summary statistic that describes the linear relationship between two numerical variables 2

Lecture 11: Chapter 5, Section 3 Relationships between Two Quantitative Variables; Correlation

Simple linear regression

Homework 8 Solutions

Pearson s Correlation Coefficient

Worksheet A5: Slope Intercept Form

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

You buy a TV for $1000 and pay it off with $100 every week. The table below shows the amount of money you sll owe every week. Week

Plot the following two points on a graph and draw the line that passes through those two points. Find the rise, run and slope of that line.

The correlation coefficient

G r a d e 1 0 I n t r o d u c t i o n t o A p p l i e d a n d P r e - C a l c u l u s M a t h e m a t i c s ( 2 0 S ) Final Practice Exam

Module 3: Correlation and Covariance

Section 3 Part 1. Relationships between two numerical variables

DESCRIPTIVE STATISTICS. The purpose of statistics is to condense raw data to make it easier to answer specific questions; test hypotheses.

Answer: C. The strength of a correlation does not change if units change by a linear transformation such as: Fahrenheit = 32 + (5/9) * Centigrade

CORRELATION ANALYSIS

DEPARTMENT OF PSYCHOLOGY UNIVERSITY OF LANCASTER MSC IN PSYCHOLOGICAL RESEARCH METHODS ANALYSING AND INTERPRETING DATA 2 PART 1 WEEK 9

CORRELATIONAL ANALYSIS: PEARSON S r Purpose of correlational analysis The purpose of performing a correlational analysis: To discover whether there

table to see that the probability is (b) What is the probability that x is between 16 and 60? The z-scores for 16 and 60 are: = 1.

Solución del Examen Tipo: 1

Copyright 2007 by Laura Schultz. All rights reserved. Page 1 of 5

There are probably many good ways to describe the goals of science. One might. Correlation: Measuring Relations CHAPTER 12. Relations Among Variables

Chapter 13 Introduction to Linear Regression and Correlation Analysis

Pearson's Correlation Tests

Foundations for Functions

Chapter 10. Key Ideas Correlation, Correlation Coefficient (r),

Correlation key concepts:

Chapter 7: Simple linear regression Learning Objectives

Session 7 Bivariate Data and Analysis

COMP6053 lecture: Relationship between two variables: correlation, covariance and r-squared.

Charts, Tables, and Graphs

Point Biserial Correlation Tests

Algebra 1 Course Information

We are often interested in the relationship between two variables. Do people with more years of full-time education earn higher salaries?

Using Excel for inferential statistics

Data exploration with Microsoft Excel: analysing more than one variable

Lean Six Sigma Analyze Phase Introduction. TECH QUALITY and PRODUCTIVITY in INDUSTRY and TECHNOLOGY

1. The parameters to be estimated in the simple linear regression model Y=α+βx+ε ε~n(0,σ) are: a) α, β, σ b) α, β, ε c) a, b, s d) ε, 0, σ

Regression and Correlation

The importance of graphing the data: Anscombe s regression examples

Simple Linear Regression, Scatterplots, and Bivariate Correlation

Business Statistics. Successful completion of Introductory and/or Intermediate Algebra courses is recommended before taking Business Statistics.

Years after US Student to Teacher Ratio

Introduction to Quantitative Methods

II. DISTRIBUTIONS distribution normal distribution. standard scores

Indiana State Core Curriculum Standards updated 2009 Algebra I

Diagrams and Graphs of Statistical Data

The Big Picture. Correlation. Scatter Plots. Data

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

Creating an Excel XY (Scatter) Plot

Unit 9 Describing Relationships in Scatter Plots and Line Graphs

Pennsylvania System of School Assessment

5. Correlation. Open HeightWeight.sav. Take a moment to review the data file.

with functions, expressions and equations which follow in units 3 and 4.

2. Simple Linear Regression

Course Text. Required Computing Software. Course Description. Course Objectives. StraighterLine. Business Statistics

Chapter 23. Inferences for Regression

A full analysis example Multiple correlations Partial correlations

Interactive Excel Spreadsheets:

How Many Drivers? Investigating the Slope-Intercept Form of a Line

Introduction to Linear Regression

Prentice Hall Mathematics Courses 1-3 Common Core Edition 2013

Relationships Between Two Variables: Scatterplots and Correlation

The Correlation Coefficient

Reporting Statistics in Psychology

Solution: The optimal position for an investor with a coefficient of risk aversion A = 5 in the risky asset is y*:

SIMPLE LINEAR CORRELATION. r can range from -1 to 1, and is independent of units of measurement. Correlation can be done on two dependent variables.

1) Write the following as an algebraic expression using x as the variable: Triple a number subtracted from the number

Introduction to Linear Regression

Copyright 2013 by Laura Schultz. All rights reserved. Page 1 of 7

What does the number m in y = mx + b measure? To find out, suppose (x 1, y 1 ) and (x 2, y 2 ) are two points on the graph of y = mx + b.

Dimensionality Reduction: Principal Components Analysis

SPSS Explore procedure

There are six different windows that can be opened when using SPSS. The following will give a description of each of them.

Econometrics Simple Linear Regression

Example: Boats and Manatees

MULTIPLE REGRESSION AND ISSUES IN REGRESSION ANALYSIS

CHAPTER 13 SIMPLE LINEAR REGRESSION. Opening Example. Simple Regression. Linear Regression

Financial Risk Management Exam Sample Questions/Answers

Regression Analysis: A Complete Example

Linear Models in STATA and ANOVA

An introduction to IBM SPSS Statistics

Module 5: Multiple Regression Analysis

Title: Lending Club Interest Rates are closely linked with FICO scores and Loan Length

STAT 350 Practice Final Exam Solution (Spring 2015)

The Dummy s Guide to Data Analysis Using SPSS

SPSS TUTORIAL & EXERCISE BOOK

PITFALLS IN TIME SERIES ANALYSIS. Cliff Hurvich Stern School, NYU

MASTER COURSE SYLLABUS-PROTOTYPE PSYCHOLOGY 2317 STATISTICAL METHODS FOR THE BEHAVIORAL SCIENCES

INTERPRETING THE ONE-WAY ANALYSIS OF VARIANCE (ANOVA)

PROPERTIES OF THE SAMPLE CORRELATION OF THE BIVARIATE LOGNORMAL DISTRIBUTION

Bill Burton Albert Einstein College of Medicine April 28, 2014 EERS: Managing the Tension Between Rigor and Resources 1

Engineering Problem Solving and Excel. EGN 1006 Introduction to Engineering

LAYOUT OF THE KEYBOARD

Transcription:

Name: Score: / Homework 11 Part 1 null 1 For which of the following correlations would the data points be clustered most closely around a straight line? A. r = 0.50 B. r = -0.80 C. r = 0.10 D. There is no relationship between the correlation and how close the data points are to the line

2 Accepted characters: numbers, decimal point markers (period or comma), sign indicators (- For the following set of scores, Pearson's r is. (Round your final answer to two decimal places.) 2 6 3 4 4 6 2 7 4 2 Answer Key: -.63 -.62 3 Accepted characters: numbers, decimal point markers (period or comma), sign indicators (- For the following set of scores, Pearson's r is. (Round your final answer to two decimal places.) 1 5 5 2 6 9 15 20 8 4 Answer Key: 0.82

4 A Pearson correlation of r = +1.00 between and indicates A. Each time increases, there is a perfectly predictable increase in B. Every change in causes a change in C. Every increase in causes an increase in D. All of the other 3 choices occur with a correlation of +1.00 Answer Key: A 5 A set of n = 15 pairs of scores ( and values) has SS = 4, SS = 25, and SS = 6. The Pearson correlation for these data is A. 6 B. 0.06 C. 0.006 D. 0.60 Answer Key: D

6 Accepted characters: numbers, decimal point markers (period or comma), sign indicators (- For the following set of scores, Pearson's r is. (Round your final answer to two decimal places.) 1 0 4 4 3 1 2 1 Answer Key: 0.89 7 Accepted characters: numbers, decimal point markers (period or comma), sign indicators (- A set of n = 4 pairs of scores ( and values) has SS = 5, SS = 625, and SS = 50. The coefficient of determination (R 2 ) for these data is. (Round your answer to two decimal places.) Answer Key:.79.80 8 A college professor reports that students who finish exams early tend to get better grades than students who hold on to exams until the last possible moment. The correlation between exam score and amount of time spent on the exam is an example of A. a positive correlation B. a negative correlation C. a correlation near one D. a correlation near zero

9 Identify the strength and direction of the relationship among the two variables shown in the graph. corr2.pdf A. strong, positive B. weak, positive C. weak, negative D. strong, negative 10 Sketch a scatterplot of the following data. Is the relationship between the variables positive or negative? 3 12 6 7 3 9 5 7 3 10 A. positive B. negative

11 Identify the strength and direction of the relationship among the two variables shown in the graph. corr6.pdf A. weak, negative B. weak, positive C. strong, positive D. strong, negative Answer Key: D 12 In the following data, there are three scores (,, and Z) for each of the n = 5 individuals. Sketch a scatterplot for each of the relationships. The correlation between and is, between and Z is, and between and Z is. Z 3 5 5 4 3 2 2 4 6 1 1 3 0 2 4 A. negative, positive, negative B. positive, positive, negative C. negative, negative, positive D. positive, negative, positive Answer Key: D

13 A scatter plot shows a set of data points that are widely scattered around a line that slopes down to the right. Which of the following values would be closest to the correlation for these data? A. r = -0.40 B. r = -0.80 C. r = 0.40 D. r = 0.80 Answer Key: A 14 The following graph displays a linear relationship between liking and self-disclosure. corr3.pdf True False Answer Key: False 15 Accepted characters: numbers, decimal point markers (period or comma), sign indicators (- - M - M ( - M ) ( - M ) 9 4 9-8 = 1 4-5 = -1 (1) * (-1) = - 1 7 7 6 3 10 6 Complete the above table and compute the covariance. The covariance (SS ) for these data is. Answer Key: 3

16 Identify the strength and direction of the relationship among the two variables shown in the graph. corr11.pdf A. weak, negative B. strong, negative C. strong, positive D. weak, positive Answer Key: A 17 Identify the strength and direction of the relationship among the two variables shown in the graph. corr14.pdf A. weak, positive B. weak, negative C. strong, positive D. strong, negative Answer Key: C

18 In a test for linear correlations, the assumption of normality means that A. the population of scores is normally distributed B. the population of scores is normally distributed C. for each score, the distribution of scores is normally distributed D. For each score, the distribution of scores is normally distributed E. All of the above Answer Key: E 19 Violation of the assumption of homoscedasticity means that A. the variances of and are negative B. the variance in is different from the variance in C. there is a negative correlation between and D. the variance in is the same as the variance in 20 Correlation values can range from -1.0 to +1.0. True False Answer Key: True