23Test the significance of correlation for the following values based onthe number of observation (i) 10 and (ii) 100.correlation +0.4 and +0.9The coefficient of

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Answered: Test the significance of correlation…

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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For a random sample of households in the US, we record annual household income, whether the location is east or west of the Mississippi River, and number of children. We are interested in determining whether or not there is a linear relationship between household income and number of children. Part 1 (a) State the null and alternative hypotheses. Ho: II vs Ha: 44₁ :: p ₂ ^ P₁ p II :: P₁ A P₂ : 0 p
What is the relationship between covariance and the correlation coefficient?
Interpret the following output from a survey asking employees to indicate how many accidents they experienced at work (reported accidents), whether their supervisors enforce safety regulations (enforce), and how much their organization emphasized safety (safclim). Select all that apply. Correlations # Reported Accidents Pearson Correlation Sig. (2-tailed) N enforce Pearson Correlation Sig. (2-tailed) N safclim # Reported Accidents Pearson Correlation Sig. (2-tailed) N **. Correlation is significant at the 0.01 level (2-tailed). 1.000 123.000 .033 .716 121 -.064 .487 122 enforce .033 .716 121 1.000 safclim -.064 .487 122 .528** .000 126 1.000 126.000 .528** .000 126 127.000 This shows that there is a significant correlation between accidents at work and how much the organization emphasizes safety This shows that there is a positive correlation between the amount of supervisors enforce safety regulations and how much the organization emphasized safety There is a large effect size for…
The data in the table to the right are based on the results of a survey comparing the commute time of adults to their score on a well-being test. Complete parts (a) through (d) below. LOADING... Click the icon to view the table of critical values of the correlation coefficient. a) Which variable is likely the explanatory variable and which is the response variable? Critical Values for Correlation Coefficient n 3 0.997 4 0.950 5 0.878 6 0.811 7 0.754 8 0.707 9 0.666 10 0.632 11 0.602 12 0.576 13 0.553 14 0.532 15 0.514 16 0.497 17 0.482 18 0.468 19 0.456 20 0.444 21 0.433 22 0.423 23 0.413 24 0.404 25 0.396 26 0.388 27 0.381 28 0.374 29 0.367 30 0.361 n (a) Which variable is likely the explanatory variable and which is the response variable? The explanatory variable is…
An ecologist is interested in exploring the relationship between pollination rate and the number of bees present at apple orchards. The relationship is: (Pollination rate) = 372.6 + 13.5 x (bees) with r = 0.80. The best interpretation of the correlation coefficient is: (pick one) 1. 64% of the variability in pollination rate observed at apple orchards is explained by the relationship with the number of bees 2. the correlation between pollination rate and number of bees is 0.64 3. 80% of the variability in number of bees at apple orchards is explained by the relationship with the pollination rate 4. the correlation between pollination rate and number of bees is 0.80
Match each correlation to the correspoding scatterplot please.
Fifty-four wild bears were anesthetized, and their weights and chest sizes were measured. Results are showing in the graph below. IS there sufficient evidence to support the claim that there is a linear correlation between weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that a measured chest size can be used to predict the weight? Correlation Results Correlation coeff r:0.963141 Critical r ±0.2680855 P-value (two-tailed) 0.000
Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support Correlation Results the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that Correlation coeff, r: 0.959614 a measured chest size can be used to predict the weight? Use a significance level of = 0.05. Critical r: +0.2680855 P-value (two tailed): 0.000 Но: Р H1:P (Type integers or decimals. Do not round.) Identify the correlation coefficient, r. (Round to three decimal places as needed.) Identify the critical value(s). (Round to three decimal places as needed.) O A. There is one critical value at r= . B. There are two critical values at r= ± Is there sufficient evidence to support the claim that there is a linear correlation between…
What are the limitations of using Pearson's correlation coefficient to measure the relationship between two variables?
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Test the significance of correlation for the following values based on the number of observation (i) 10 and (ii) 100. The coefficient of correlation +0.4 and +0.9