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
See Attached File
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
For which data set is the sample correlation coefficient r equal to -1? Which data set has an apparent positive, but not perfect, linear relationship between its two variables? Which data set indicated the strongest negative linear relationship between its two variables? For which data set is the sample correlation coefficient r closest to 0?
Below are four bivariate data sets. (Note that each scatter plot is displayed on the same scale.) Each data set is made up of sample values drawn from a population. x y = Figure 1 --- --- 1.0 8.0 2.0 4.8 3.0 9.8 4.0 6.2 5.0 2.0 6.0 4.8 7.0 8.9 8.0 4.0 9.0 9.7 10.0 6.7 u v
Below are four bivariate data sets. (Note that each scatter plot is displayed on the same scale.) Each data set is made up of sample values drawn from a population. x y = Figure 1 --- --- 1.0 4.0 2.0 6.3 3.0 7.2 4.0 4.3 5.0 5.1 6.0 7.5 7.0 5.3 8.0 7.0 9.0 8.7 10.0 7.0 u v
The Cadet is a popular model of sport utility vehicle, known for its relatively high resale value. The bivariate data given below were taken from a sample of sixteen Cadets, each bought "new" two years ago and each sold "used" within the past month. For each Cadet in the sample, we have listed both the mileage, (in thousands of
Below are bivariate data giving birthrate and life expectancy information for each of twelve countries. For each of the countries, both the number of births per one thousand people in the population and the female life expectancy (in years) are given. Also given are the products of the birthrates and female life expectancies f
Managers of an outdoor coffee stand in Coast City are examining the relationship between (hot) coffee sales and daily temperature, hoping to be able to predict a day's total coffee sales from the maximum temperature that day. The bivariate data values for the coffee sales (denoted by , in dollars) and the maximum temperature (d
A calculus teacher wants to find out if her class's test scores are correlated to their overall grade point average. The data of the student's test scores and their corresponding grade point averages are found in the table below. Calculate the correlation coefficient. Test score 98 105 100 100 106 95 116 112 _
What will the correlation coefficient be close to if a strong negative relationship exists? a. +1 b. -1 c. 0 d. .5
1. The manager of a movie rental store was interested in examining the relationship between the weekly take-home pay for a family and the amount that family spends weekly on recreational activites. The following output was generated using Minitab: Covariances takehome recreation takehome 4413.84 recreation 2419.64 1364.2
Find the following Z-statistics and associated probabilities. Does this provide enough evidence with a 95% confidence to infer that the population mean is less than 160? Determine if there is enough statistical evidence with 99% confidence to infer that the population mean is greater than 50. With a confidence level of 95%, test the hypothesis. Given the three states of correlation, explain how two data sets would move with each other in that state. Does this indicate that the population proportion of consumers loyal to Chevrolet is more than 47%.
The population data is normally distributed with a mean of 30 and a standard deviation of 5. Find the following Z-statistics and associated probabilities. 1. P(17 < X < 26) 2. P( X < 32) A population of yearly average rainfall for the Amazon jungle is normally distributed with a mean of 1000 inches and a standa
A real estate broker hoped to develop an equation that could be used to predict the sales price of homes in a certain suburb. It seemed to him that the most important variables, since all the homes were in pretty much the same locale, were age of house, square feet, and number of bedrooms. _ _ X=7.1 Y=90.7 x=0.