EXERCISE 4Brain weight Total sleep(hrs/day)-358"A scientist studied the relationship between thenumber of hours per day an animal sleeps and theweight of its brain. He took a sample of 62 differenttype of animals and obtained data on brain weightand total hours of sleeping per day. Table belowdepicts the result of correlation analysis.(grams)PearsonCorrelationSig. (2-tailed)1Brain weight(grams).0065862PearsonCorrelationSig. (2-tailed)a) State the value of the Pearson correlationcoefficient and the type of correlation that existsbetween the number of hours per day an animalsleeps and the weight of its brain.-358"1Total sleep(hrs/day).0065858**. Correlation is significant at the 0.01 level (2-tailed).b) What happens to the number of sleeping hours asthe brain of an animal gets heavier?

From the given data Answer the following

Answered: EXERCISE 4 Brain weight Total sleep…

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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You are a researcher interested in crime and crime rates. You’ve collected a sample of data from the county level for your state. You hypothesize that the rate of violent crimes will be higher in counties with bigger populations. Based on the below Pearson correlation results, is your hypothesis supported or rejected?
Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and the profits (in millions of dollars). Determine if there is a significant linear correlation between advertising cost and profit . Use a significance level of 0.05 and round all values to 4 decimal places. Advertising Cost Profit 3 19 4 16 24 6 29 7 25 27 10 30 Ho: p = 0 На: р * 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is O Less than (or equal to) a O Greater than a The p-value leads to a decision to O Do Not Reject Ho O Accept Ho O Reject Ho The conclusion is O There is a significant negative linear correlation between advertising expense and profit. O There is a significant linear correlation between advertising expense and profit. O There is a significant positive linear correlation between advertising expense and profit. O There is insufficient evidence to make a conclusion about the linear correlation between advertising expense and…
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Thank you
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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. Use a significance level of x = 0.05 to answer the following questions. Correlation Results Correlation coeff, r: Critical r: P-value (two tailed): 0.000 Identify the correlation coefficient, r. r= (Round to three decimal places as needed.) Identify the critical value(s). (Round to three decimal places as needed.) OA. There are two critical values at r= ± OB. There is one critical value at r= Is there sufficient evidence to support the claim that there is a linear correlation between the weigh of bears and their chest sizes? Choose the correct below and, if necessary, fill in the answer box within your choice. (Round to three decimal places as needed.) exceeds the critical value. A. No, because the absolute value of r= OB. Yes, because the absolute value of r= OC. No, because r= exceeds the positive critical value. falls…
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