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.
In both cases, give a number of data points, n, and a correlation coefficient, r. Draw a number of data points, n, and a correlation coefficient, r. Tell whether the correlation is significant at 0.05 or 0.01 level, explain. n=50 points, r=0.35. n=20 points, r=0.58.
1. The IQ scores of 30 children from under-privileged households, were measured before and a year after, a program of nutritional supplementation was instigated at a primary school. Use a two-tailed test. Is there an effect of nutritional supplementation? Submit your answers on a standard answer sheet. (e) Given a (alpha)
Suppose you find a restriction in your study of IQ scores and school achievement at a selective private school. Restricting the range is likely to do what to the correlation coefficient? a. Increase the size b. Underestimate the strength c. Have no effect d. Change the sign
The product development team at Piggybank is wondering if there is a correlation between retail online sales and total retail sales. Use the Discussion Board to work with the peer/mentor group to calculate the correlation between online and total retail sales, and interpret the results. Share examples and insights. Give two
Carry out a least square line fit to these points: (x, y) = (1,4) (2,5) (3,7) (4,8). Calculate the covariance and correlation coefficient
The following computer printout of a correlation table was obtanied. It show a correlation table dealing with the correlation of annual rainfall and other variables. PEARSON CORRELATION COEFFICENT/PROB>/R?UNDER HO:RHO=O/N=100 Variable A .7504 .0003 Variable B -.6337 .0060 Variab
Why is it so difficult in the real world to find companies with negative correlation coefficients?
Hello, I need to find out the Spearman's correlation coefficient of the attached data, I have analysed it using an Excel macro and come up with a different result from when I worked it out manually, using forumlas I found on the web. I'm having trouble deciding which method is the right one, so I'd like someone to take my
I have got 24 subjects I did a correlation stats on them to to find out if there is a correlation between the time spent doing online research compatred to off line research i hypothes that the more online research that is done the less off line reserch will be don. In doing the correlation I got this figure-0.117967285 I did a
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Please see attached document
The problem is: Vernon wants to use excel to compute autocorrelation coefficients and correlogram for the data presented. This example was manually copied from the book and formulas were not entered. I need assistance in writing a memo BRIEFLY EXPLAINING the results of the attached example (findings, I.E., GRAPH, LAG, ACF, COR
Below are four bivariate data sets and the scatter plot for each. (Note that each scatter plot is displayed on the same scale.) Each data set is made up of sample values drawn from a population. Figure 1 x y 1.0 7.7 2.0 8.7 3.0 6.9 4.0 5.7 5.0 8.5 6.0 4.9 7.0 4.5 8.0 7.3 9.0 5.9 10.0 3.8
See attached file for full problem description. --- Below are four bivariate data sets. Each data set is made up of sample values drawn from a population. x y = Figure 1 --- --- 1.0 8.2 2.0 6.6 3.0 7.6 4.0 5.7 5.0 7.0 6.0 5.0 7.0 4.8 8.0 3.8 9.0 4.2 10.0 2.8 u v = F
Please see the attached file for full problem description. --- 1. A respondent was presented 18 hypothetical alternatives or profiles described on five attributes of carpet cleaner. The attributes are: o package design (described on three levels) o brand name (described on three levels) o price (described on three leve
Below are four bivariate data sets. Each data set is made up of sample values drawn from a population. x y = Figure 1 --- --- 1.0 8.1 2.0 7.2 3.0 8.1 4.0 5.9 5.0 6.9 6.0 4.5 7.0 5.0 8.0 3.3 9.0 4.2 10.0 2.7 u v = Figure 2 --- --- 1.0 7.9 2.0 5.3 3.0 10.2