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
The coefficient of rank correlation of the marks obtained by 10 students in statistics and accountancy was found to be 0.8. It was later discovered that the difference in ranks in the two sub- jects obtained by one of the students was wrongly taken as 7 instead of 9. Find the correct coefficient of rank correlation.
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
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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 =
08 Siti has created a dataset containing 10 rows of data, each row signifies one person. She has two variables, the first is Age (in years) and the other is Cholesterol levels (in mmol/L). She wants to find out if there is any relationship between these two variables using the Pearson correlation in SPSS. a) State the null and alternative hypotheses. b) Based on the Pearson correlation results below from SPSS, make a decision regarding the null hypotheses. Age Pearson Correlation Sig. (2-talled) N Age 1 10 .882 Cholesterol Pearson Correlation Sig. (2-talled) N Correlation is significant at the 0.01 level (2-talled). Cholesterol .882 .001 10 .001 10 1 10
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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…

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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.