Is there any relationship between overall service quality provided to tourists, the value of money and the likelihood of a return to Hong Kong? CorrelationsOverallLikelihood ofservice qualityin Hong KongValue forreturn tomoneyHong Kong.278"Overall service quality inHong KongPearson Correlation1.087Sig. (2-tailed).000.079N411411411Value for moneyPearson Correlation.278"1.242"Sig. (2-tailed).000.000N411411411Likelihood of return toPearson Correlation.087.242"1Hong KongSig. (2-tailed).079.000411411411**. Correlation is significant at the 0.01 level (2-tailed).VariablesPearson CorrelationSig.Overall service quality in Hong Kong &0.2780.000**value for moneyOverall service quality in Hong Kong &likelihood of return to Hong Kong0.0870.079Value for money & likelihood of return0.2420.000**to Hong Kong** significant at %0.01 confidence level

Yes,from the given tble it is clear evident that there is relation between overall service quality…

Answered: Is there any relationship between…

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 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 _____.
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.
What is the value of Spearman's correlation coefficient for the association between chocolate consumption and the number of Nobel prize winners in chocolate nobels
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
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.
It is expected that students who consistently performwell in major tests, quizzes, assignments and seatworksin the classroom also perform well in standardizedachievement test. A teacher decided to examine thishypothesis. At the end of the academic year, sherandomly selected 10 students from her class. Shecomputes a correlation between the student’sachievement test scores and the overall GPA for eachstudent computed over the entire year. The data for the10 students from her class are provided below.
I have transportation data with a year variable, categorical and continuous variables. I tried to create a cross section by concatenating all the categorical variables together then regress on the continuous variables with revenue as my dependent variable using Pooled OLS. Unfortunately, i have serial correlation in my model and i am not able to remove the serial correlation. Alternatively, i was thinking of looking at just one year of data or treating the data as a single cross section, including year dummy variables and selecting specific categorical variables as additional dummy variables to determine the effect on revenue. Any issues with that approach or alternative recommendations? Also, its worth noting that i had to remove 15% of my data to ensure each cross section that i created had a year from 2011-2017 to allow me to run the proc panel in SAS.
even though we may observe a strong relationship between the explanatory and response variables, a lurking variable may also influence the response vatiabke. This is reffered to as A. correlation B. confounding C.association D. causation
A student states that a decrease in the “percent of 18-64 yr-olds with no high school diploma” will lead to a decrease in the “percent of low-income working families.” Write at least two concise sentences addressing the key uses of linear correlation and comment on its limitations in a response to the student’s statement.
An investment company is promoting their mutual investment funds. Their fund specializing in the Hong Kong stock market has been consistently outperforming the Hang Seng Index over the last ten years. The company argues that such strong performance is proof of their great ability in selecting stocks for long-term investment. Based on your understanding of the data generating process and the possible biases associated with it, provide an alternative interpretation of the statistics about fund performance.
What is the most likely correlation value for this scatterplot?

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