Share the practical applications of the study from the Unit 2 Individual Project. How would the results of this survey be used in the workplace? Briefly describe co relational research. Name a variable from this study and one from the workplace that might prove to provide a co relational relationship and explain why you would
The total population of car passengers involved in traffic accidents are classified into six categories: two factors (one with 2 levels and one with 3 levels) crossed. The first factor is: Survivors (X1=0), Fatalities (X1=1). The second factor is: No Belt (X2=0), Adult Belt (X2=1), and Child Seat (X2=2). The proportions are as f
Please help with the following problems. 1. Describe the correlation in this graph (see graph in attachment) 2. Which of these is true for the correlation coefficient? - its range is [-1 1] - we use r to represent it - we use r^2 to represent it - both 1 and 2 - both 1 and 3 3. Indicate whether the random variabl
You're in a brainstorming session at WidgeCorp, where no idea is too outrageous. You're discussing penetration in the school lunch market. Ideas around school lunch subsidies, Internet subsidies, and Internet target marketing are being discussed. As the end of the meeting, the group asks you to prove or disprove some assumptions
A movie studio wishes to determine the relationship between the revenue from rental of DVDs and videotapes of comedies and the revenue generated from the theatrical release of such movies. The studio has the following bivariate data from a sample of fifteen comedies released over the past five years. These data give the revenue
1. What information is provided by the sign (= or -) of the Pearson correlation? 2. What information is provided by numerical value of the Pearson correlation? 20. What is the major distinction between the Pearson and Spearman correlations? 10a. A professor obtains SAT scores and freshman grade point averages (GPAs) for a
? Explain how correlation is often miscast as causation. Specifically, as it relates to how cause is attributed to a variable when in fact, there is no causal relationship but only a correlation between the two variables. ? Give an example of correlations. ? Using the example, describe how correlation might be interpreted i
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)
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
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
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
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
Spearman's Rank Correlation and other Statistical Concepts. See attached file for full problem description.
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.
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.
(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
To find the probability of winning and find 95% prediction interval. See attached file for full problem description.
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