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
Correlation Strength (apply knowledge of correlation numbers to determine the strength of a relationship)
Choose the correlation that describes the strongest relationship between two variables a) .25 b) - .70 c) .60 d) - .25 e) .05
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
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?
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
Find the correlation coefficient and using a = .01 tell me if the correlation exists between the age of the individual and his fat. See attached file for full problem description.
(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
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
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
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
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
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
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?
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
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
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
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
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
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
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
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:
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
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
What does a coefficient of correlation of .70 mean? a. Almost no correlation because .70 is close to 1.0 b. 70% of the variation in one variable is explained by the other variable c. Coefficient of determination is 0.49 d. Coefficient of nondetermination is 0.30 e. None of the above
Share the practical applications of the study (male=120 and female =168). How would the results of this survey be used in the workplace .Briefly describe correlational research .Name a variable from this study and one from the workplace that might prove to provide a correlational relationship and explain why you would choose the
These questions are addressed to a specific study and database which I am not including in order to prevent the apperance of asking for assignment completion however it is worth mentioning that the study is one about job satisfaction and the variables involved are age, gender, tenure and department and the units of measure are o
A study of 20 worldwide financial institutions showed the correlation between their assets and pretax profit to be .86. At the .05 significance level, can we conclude that there is positive correlation in the population?
Sabin Motorcycle Works plans to develop a brochure for its new revolutionary X2B cycle. One of the facets to be explored and reported on is the speed-mileage question: Is there a linear relationship between the cycle's speed and miles per gallon? Tests on their track revealed the following: Constant speed
The quality control department at Food Town Inc, a grocery chain in upstate New york, conducts a monthly check on the comparison of scanned prices to posted prices. The chart below summarizes the results of a sample of 500 items last month. Company management would like to know whether there is any relationship between error rat
Linear regression model: The results of a casual linear regression model were Y = 0 + 1.95 X. What would the correlation coefficient, r, be?
The results of a casual linear regression model were Y = 0 + 1.95 X. What would the correlation coefficient, r, be? Please explain. Thank you.