Is there any relationship between the satisfaction of Hong Kong, the attractiveness of Hong Kong and the likelihood of a return to Hong Kong? CorrelationsLikelihood ofAttractivenessSatisfaction ofreturn toof Hong KongHong KongHong KongAttractiveness of HongKongPearson Correlation1.598.368Sig. (2-tailed).000.000410410410.282"Satisfaction of HongKongPearson Correlation.5981Sig. (2-tailed).000.000410411411Likelihood of return toPearson Correlation.368.282"1Hong KongSig. (2-tailed).000.000410411411**. Correlation is significant at the 0.01 level (2-tailed).VariablesPearson CorrelationSig.Attractiveness of Hong Kong &satisfaction of Hong Kong0.5980.000**Attractiveness of Hong Kong & thelikelihood of return to Hong Kong0.3680.000**Satisfaction of Hong Kong & the0.2820.000**likelihood of return to Hong Kongsignificant at %0.01 confidence level**

Correlation shows the degree of association between the two numerical variable. It value ranges from…

Answered: Is there any relationship between the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A local church has been experiencing steady growth in membership and wants to launch a membership drive. Before they begin, they would like to find out what types of people are most likely to attend services each week. A random sample of 15 existing members has been asked how many times they attended services over the past five weeks and for certain other information. Which independent variables have significant relationships with attendance? a. Attendance by education Less than Highschool High School College 0 1 0 1 3 3 2 3 4 3 4 4 4 5 4 b. Attendance by the length of residence in present community Less Than 2 Years 2-5 Years More Than 5 Years 0 0 1 1 2 3 3 3 3 4 4 4 4 5 4 c. Attendance by extent of television watching Little or None Moderate High 0 3 4 0 3 4 1 3 4 1 3 4 2 4 5 d. Attendance by number of children None One Child More Than One Child 0 2 0 1 3 3 1 4 4 3 4 4 3 4 5
1. Calculate the correlation coefficient. 2. What do these data indicate about the height of the initial drop of a roller coaster and the duration of the ride? O A. Generally, rides on coasters with a greater initial drop tend to last somewhat shorter, because the correlation indicates a moderate association.O B. Generally, rides on coasters with a greater initial drop tend to last longer, because the correlation indicates a strong association.O C. Generally, rides on qpasters with a greater initial drop tend to last somewhat longer, because the correlation indicates a moderate association.O D. Generally, rides on coasters with a greater initial drop tend to last somewhat longer, because the correlation indicates a weak association.
A) Perform a formal test for correlation on the chocolate consumption / Nobel prize winners data in chocolate nobels H0: There is no correlation between chocolate consumption and the number of Nobel prize winners (=0) H1: There is a correlation between chocolate consumption and the number of Nobel prize winners ( is not 0) What is the critical value of Spearman's correlation coefficient, which is required to reject the null hypothesis at a 0.05 confidence level? B) Perform a formal test for correlation on the chocolate consumption / Nobel prize winners data in chocolate nobels H0: There is no correlation between chocolate consumption and the number of Nobel prize winners (=0) H1: There is a correlation between chocolate consumption and the number of Nobel prize winners ( is not 0) True or false: The null hypothesis should be rejected based on your analysis in the preceding questions.
The linear correlation coefficient is r= (Round to three decimal places as needed.) Determine the null and alternative hypotheses. H0:ρ __ ___ H1:ρ ____ ____ (Type integers or decimals. Do not round.) The test statistic is t= (Round to two decimal places as needed.) The P-value is (Round to three decimal places as needed.) Because the P-value of the linear correlation coefficient is: the significance level, there: sufficient evidence to support the claim that there is a linear correlation between Internet users and scientific award winners.
2- I need help with this stats exercise, it has 7 parts so please provide the answer for all of them since I struggle with all the parts of the exercise. The last part which is a sentence has the options of -Because the P-value of the linear correlation coefficient is (Greater than / Less than or Equal to ) the significance level, there (Is / Is not) sufficient evidence to support the claim that there is a linear correlation between Internet users and scientific award winners.
A researcher assesses work ethic among college students using a self-report questionnaire. Moreover, the researcher tracks how many hours students seek out extra support at the tutoring center and with their professors on campus during the semester. The researcher determines that there is a significant positive relationship between self-reported work ethic and the number of hours students seek out extra support at the tutoring center and with their professors during the semester. This demonstrates how correlations can be used to demonstrate _____.
Correlational designs are most often identified with experiments. Select one: True False
using karl pearsonn coeffecient of correlation
What are the possible values of the linear correlation coefficient?
is the Pearson Product Moment correlation used to determine if there is a relationship between two unrelated variables ?
A mad scientist is interested in seeing if there is a relationship between the number of nights until the full moon (X) and the number of Werewolves (Y) that are caught by his assistant Igor. For the data below, compute a Pearson correlation (r) hypothesis test. Because one is not particularly cautious with mad science, the mad scientist is using a two-tailed test, α = .05. Be sure to show all work. Nights until the full moon (X) # of Werewolves caught (Y) 7 1 6 2 2 4 3 5 2 8 1 State the mad scientist’s null and alternative hypotheses 2 Find the critical r 3 Compute the observed r from the sample data 4 Make a statistical decision and a conclusion in everyday language
An experiment was conducted into various phobias, by the department of Psychology at Lowlands University. One hundred subjects were shown pictures of things that typically induce fear (spiders, violence, extreme heights, bloody wounds etc). They were then asked how frightened they were. State whether or not the data is suitable for analysis using correlation and regression, and explain fully why you have reached that conclusion. Observation Not frightened A little frightened Frightened Terrified 1 Spiders 2 Zombies 3 Blood 4 House fire 5 Clowns 6 Vampires 7 Explosions 8 Surgeries 9 Exam rooms 10 Job centres

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