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)
Professor turner found that the correlation between a person's degree of loneliness and the number of hours watching TV is -0.69. He can conclude that... a. As we observe people with higher levels of loneliness, we see a tendency for those people to spend less and less time watching TV. b. There is not much of a relatio
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?
13. Researchers found a correlation of 0.74 between sex (male, female) and education (high school, undergraduate, graduate). What of the following statements is correct? a. more males continue to graduate studies b. more females continue to graduate studies c. it is not appropriate to calculate a correlation coefficient
19. The data from exercise 7 to follow (see attachment) The estimated regression equation for these data is ... (see attachment). What percentage of the total sum of squares can be accounted for by the estimated regression equation? Common on the goodness of fit. What is the sample correlation coefficient?
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
An experiment was done to see if there was any correlation between the volume of water in a fish tank and the average length to which goldfish grew when they were hatched and raised in that tank. Here are the results. Draw a scattergram and compute r. Fish Tank Volume, in Gallons Average Length of Fish, in Inches 0.5 1.8
Nonparametric Correlations Is the correlation between the variable "Admission Rank Order - Ordinal" and the variable "MDDE 601 Final Grades - Interval" significant? Why would my Professor recommend I use the Spearman's rho procedure to determine the relationship between the 2 variables?
From a table provided in the attached document, determine if any of the 4 correlations are significant? If any, how should I interpret the significant correlation? What would be a good explanation for the relationship?
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
Assume that there is a correlation between two variables, X and Y. Based on the information provided below, calculate the correlation coefficient. X 31,30,32,19,25,22,30,19,18,20 Y 32,30,25,22,20,19,18,17,16,15 What conclusion can you draw from it? Please see attachment
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
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 7.8 2.0 6.9 3.0 7.3 4.0 5.9 5.0 6.9 6.0 4.8 7.0 4.6 8.0 3.4 9.0 4.3 10.0 2.5 u v = Figure 2 --- --- 1.0 4.4 2.0 6.0 3.0 7.0
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 8.3 2.0 7.1 3.0 8.0 4.0 5.9 5.0 6.6 6.0 4.5 7.0 4.9 8.0 3.3 9.0 4.2 10.0 2.9 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 _
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
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.