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Correlation

Value of R

10. a. Use one of the raw score formulas to find r for the following data. What is the value of r? _____ (2 Points) Case X Y 1 13 5 2 17 45 3 9 0 4 11 18 5 15 25 X-bar =13 SDx = 3.16 Y-bar =18 Sdy = 17.81 b. What does r tell us? ___________ (2 Points) Describe the strength of r. ________ (2 Points)

Mean, range and constructing 2 bivariate tables percentage

Using the mean and range, (to describe the distribution of responses) to the question, how often have you used the library as a place to study" for ALL respondents Then I need help to construct 2 bivariate tables. Each of the title has to be titled, percentage, and include the number of cases on which the percentages are bas

Statistics

Energy Consumption Machine Setting 21.6 11.15 4 15.7 1.8 18.9 1 19.4 1 21.4 0.8 21.7 3.8 25.3 7.4 26.4 4.3 26.7 36.2 29.1 Is there a signific

Correlation Graph

Having difficulty trying to figure out how to create a graph using correlation data. The data that is given is brief. The title of the article is High correlation between parental health insurance coverage and the health insurance coverage of their children. Author Brett O'Hara (2004). The article is as follows: Medical

How to explain correlation coefficient between Excessive weight and breast cancer?

Recent medical research demonstrated there is a strong (r=.60) correlation between the excessive weight and incidences of breast cancer. How can we interpret this statement? Can we say that excessive weight is the leading cause of breast cancer? How confident can we be about the strength of the relation between these two variabl

Variable Correlation and Regression

Discuss an example from every day life, your professional experience, personal life or sports where two variables are positively correlated and why; discuss a second example where two variables are negatively correlated and why. Address which variable is dependent and which one is independent for each example and how one ca

Correlation and Correlation Coeifficent

Article: Estimating premorbid IQ from the demographic variables: A comparison of a regression equation vs clinical judgement, Crawford et al. 1. What is the correlation between IQ from regression equation and obtained IQ? 2, What is the correlation between IQ estimated by rater 4 and obtained IQ, and how do these compare?

Linear Relationships in Data

1. Assume that a sample of n pairs of data results in the given value of r. For alpha equal .05, determine if there is a significant linear relationship between x and y. Let n= 22, r = 0.087 (yes or no) 2. Assume that a sample of n pairs of data results in the given value of r. For alpha equal .05 determine if there is a si

Linear Correlation Coefficient Calculation

Calculate the linear correlation coefficient for the given data. Round to the nearest three decimal places: x 57 53 59 61 53 56 60 y 156 164 163 177 159 175 151 See attached file for better table representation.

NYSE vs. NASDAQ Student t test and rank correlation

(See attached file for full problem description) --- Be sure to answer all the following questions for each Problem. (a) Write the claim mathematically and identify H0 and H1: (b) Find the critical values (CVs) and identify the rejection regions: (c) Find the test statistic (TS): (d) Decide whether to reject or f

Joint probability distribution for uncertain quantities + covar and correlation

Absolutely lost on how to determine what is being asked in below problem. Consider the following joint probability distribution for uncertain quantities X and Y: P(X=-2 and Y = 2) = 0.2 P(X=-1 and Y = 1 = 0.2 P(X= 0 and Y = 0 = 0.2 P(X= 1 and Y = 1 = 0.2 P(X= 2 and Y = 2) = 0.2 1. Need to calculate the covariance a

studying for an exams statistics

An instructor asked five students how many hours they had studied for an exam. (For part f, assume that hours studied is the predictor variable.) Here are the number of hours studied and the students' grades: Hours Studied Test Grade 0 52 10 95 6 83 8 71 6 64 Do the following to solve the problem: (a) Make a scatter

Correlation analysis and coefficient

Identify a situation in your work environment (or in your life) where you could apply correlation analysis. You do not need to perform all the calculations (unless you really, really want to). However, you should describe the situation "background," identify the dependent and independent variables, and explain the importance o

Correlation Example in Business

Describe a business-related situation in which you would expect there to be a strong relationship (correlation) between an independent and dependent variable. Define each variable, state whether it is the independent (X) or dependent (Y) variable, and provide a table of mock data (or some actual data if available) for 10 observa

Differentiate between correlation and causation

Share the practical applications of the study from the Unit 2 Individual Project. 1. How would the results of this survey be used in the workplace? 2. Briefly describe correlational research. 3. Name a variable from this study and one from the workplace that might prove to provide a correlational relationship and explain

Description of Correlation

Please help answer the following questions. What is correlation analysis? How can correlation analysis be used in a business decision or examples specifically related to strategy formulation and implementation? How can correlation analysis be misused to explain a cause and effect relationship?

Derive formula of rank correlation

1. Prove that 2. Using a familiar formula for the sum of the squares of those integers, prove that an expression for for the first n positive integers is 3. If X and Y denote the ranks of an individual with respect to two properties for a group of n individuals, derive the formula for the correlation of the two ran

Study Questions for Exam

1. Suppose the expected returns and standard deviations of stocks A and B are E(RA) = 0.17, E(RB) = 0.27, StdDevA = 0.12, and StdDevB = 0.21, respectively. a. Calculate the expected return and standard deviation of a portfolio that is composed fo 35 percent A and 65 percent B when the correlation between the returns on A and

Research and Evaluation: correlation between 3 pairs of variables

Please need help with this. Can you please give few easy examples. Provide three pairs of variables (three dependent and three independent) that we believe are correlated with one another. State the reason for believing there is a correlation between the variables and in what direction we believe the correlation would b

Spearman's coefficient of rank correlation

16-26. Far West University offers both day and evening classes in business administration. One question in a survey of students inquires how they perceive the prestige associated with certain careers. Each student was asked to rank the careers from 1 to 8, with 1 having the most prestige and 8 the least prestige. The results wer

Determining the Correlation Coefficient

Calculate the correlation between age and tenure with the company. Explain results. I have worked up the data below, but am not really sure how to correlate it. First, how do I determine which is the predictor and which is the response variable? Tenure Age <2 yrs 2 to 5 yrs >5 yrs Total 21 & under 20 26 2 48 % T

Predictions on Mouse Numbers

The average number of mice per home in Canada is 5.7 and s = 1.2. The average number of packages of mouse killer used per family per year is 4.2 and s = 1.1. The correlation between mice in the home and mouse killer bought is .5. The Cat family bought 12 packages of mouse killer last year. How many mice would you predict th

Coefficients of Correlation and Determination

The production department wants to explore the relationship between the number of employees who assemble a subassembly and the number produced. The complete set of paired observations follows: Number of Assemblers One Hour Production (units) 2 15 4 2

Adjusted rates, correlation test

Analyze the following data based on 2000 U.S. Census Data and American Cancer Society data: Cancer death rate - both sexes (all forms of cancer) per 100,000 (1998-2002): District of Columbia: 238.7 Kentucky: 226.9 Utah: 150.6 USA: 197.8 Lung cancer rates - both sexes (per 100,000) (1198-2002): District of Columbia:

Linear Regression and Correlation for Supermarket Income

Super Markets Inc is considering expanding into the Scottsdale Arizona area.MS Luann Miller,Director of Planning,must provide an analysis of the proposed expansion to the operating committee of the board of directors. As a part of her proposal,she needs to include information on the amount of people in the region spend pre month

Spearman's Coefficient of Rank Correlation

Far West University offers both day and evening classes in business administration. One question in a survey of the students inquires how they perceive the prestige associated with certain careers. Each student was asked to rank the careers from 1 to 8, with 1 having the most prestige and 8 the least prestige. the results were a