A researcher is interested in evaluating whether body weight of students (in kg) correlates withshoe size. A scatter plot and correlation analysis showing the relationship between the twovariables are shown below.Shoe Size12.010.08.06.04050...6070Weight (kg)8090100 Weight (kg)Shoe SizeCorrelation analysisPearson CorrelationSig. (2-tailed)NPearson Correlation.Sig. (2-tailed)NWeight (kg)146.738.00046Shoe Size.738.00046146A) Interpret the results of the scatter plot in not more than 75 words?B) Formulate null and research hypotheses for the correlation analysis between the twovariables.C) Interpret the results of the correlation analysis in not more than 75 words.

Here given scatter plot for data of weight and shoe size . Correlation coefficient between weight…

Answered: A) Interpret the results of the scatter…

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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The accompanying table shows the ages (in years) of 11 children and the numbers of words in their vocabu Click here to view the data table. Click here to view the table of critical values for the Pearson correlation cd Data Table O A. OB. Age, x Vocabulary size, y 1 7 84 3000- 을 2400: 1800- 1200 3000- 2400- 1800- 1200- 600- 2 210 6- Q 3 570 4- 4 1100 2- 600- 2200 0- 2600 1500 ó 2 4 6 8 Age (years) 3000 Age (years) 3 550 2100 (b) Calculate the sample correlation coefficient r. 270 4 1200 6 2500 (Round to three decimal places as needed.) Print Done Help Me Solve This View an Example Get More Help - heck 'ocabulary size Vocabulary size Vocabulary size
13) What are the two properties of the correlation coefficient? 14) which correlation coefficient shows the most relationship between the variables? a) .58 b) -.71 c) 2.14 d) .65
5
There is a correlation between ice cream sales and crime rates. What can we conclude from this? A) Ice cream leads to more criminality B) Committing a crime makes an individual want ice cream C) Criminality is a sufficient, but not necessary, condition for ice cream sales D) There is likely a spurious relationship between ice cream sales and crime rate
We made a survey with the number of people in a household and the number of times they get sick throughout the year. In a household, 3 people get sick once, 4 people get sick twice, 2 people get sick three times and 1 person gets sick 4 times. 1) Give the correlation coefficient, proper interpretation of it, and explain the relevance to the topic
If the coefficient of determination is 0.5625 then calculate the correlation coeffcien
A polling organization is checking its database to see if the data sources it used sampled the same ZIP codes. The variable Datasource = 1 if the data source is MetroMedia, 2 if the data source is DataQwest, and 3 if it's RollingPoll. The organization finds that the correlation between five-digit ZIP code and DATAsource is - 0.0229. It concludes that the correlation is low enough to state that there is no dependency between ZIP code and Source of Data. Comment. Choose the correct answer below. O A. A correlation of -0.0229 is very close to zero, which implies that there is a very strong relation between the variables O B. A correlation must be between 0 and 1, so the correlation of -0.0229 must have been calculated incorrectly. O C. The source of the data is categorical, which will almost always result in very low correlation values. These types of correlations can only be interpreted in the rare instances when the correlation is close to -1 or 1. O D. The source of the data is…
15) Fine the sum of products (SP) and sum of squares (SS) for the variables of interest mentioned in the study above. Then find the correlation between the two variables of interest. (Round all answers to 2 decimal points) a) SP = b) SSbullying = c) SSprejudice = d) r =
An Economics instructor assigns a class to investigate factors associated with the gross domestic product (GDP) of nations. Each student examines a different factor (such as life expectancy, literacy rate, etc.) for a few countries and reports to the class. Apparently, some of the classmates do not understand Statistics very well because several of their conclusions are incorrect. Explain the mistakes in comments a and b below. a) Explain the mistake in the statement "There was a very strong correlation of 1.22 between Life Expectancy and GDP" Choose the correct answer below O A. A correlation cannot be greater than 1. O B. A correlation that is greater than 1 implies that the variables are not quantitative, so the correlation cannot be interpreted. OC. A correlation that is close to 1 implies a very weak correlation. The correlation must be close to 10 for it to be interpreted as a very strong correlation. O D. A correlation that is greater than 1 implies a weak correlation, not a…
What is the most accurate interpretation of a significant correlation of rs = -.55 between annual CO2 emissions and annual average temperature (ranked from hottest year to coldest year)? Increased CO2 emissions are associated with lower annual average temperature Increased CO2 emissions are associated with higher annual average temperature Increased CO2 emissions lead to higher annual average temperature Increased CO2 emissions lead to lower annual average temperature If we conducted a study with a small group of randomly selected first- year psychology students and found a Pearson’s r of -.39 between distance from home to university (measured in km) and class attendance, what could we say about the relationship in the population? University students who live far from their homes are less likely to attend class There is no relationship between distance between home and university with class attendance University students who live far from their homes are more likely to attend…
When analyzing an association between two variables, the size of the correlation may be deceptive because of a.) a spurious association b.) range restriction c.) conflated data d.) poor statistical validity
Suppose that Kim is a participant in a study that compares several coaching methods to see how they affect math Scholar Aptitude Test (SAT) scores. The grand mean of math SAT scores for all participants (My) in the study is 550. The group that Kim participated in had a mean math SAT score of 565. Kim’s individual score on the math SAT was 610. What was the estimate residual component (of Kim’s score, that is, the part of Kim’s score that was not related to the coaching method? (Both parts of this question call for specific numerical values as answers). What was that “effect” (ai) component of Kim's score? What pattern in grouped data would make SSwithin = 0? What pattern within data would make SSbetween = 0?

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A) Interpret the results of the scatter plot in not more than 75 words? B) Formulate null and research hypotheses for the correlation analysis between the two variables. C) Interpret the results of the correlation analysis in not more than 75 words.