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 Resultsthe claim that there is a linear correlation between the weightsa measured chest size can be used to predict the weight? Use a significance level of a = 0.05.o measure chest size than weight? If so, does it appear that Correlation coeff, r: 0.967311bears and their chest sizes? When measuring an anesthetized bear, is it easierCritical r:±0.2680855P-value (two tailed): 0.000Determine the null and altenative hypotheses.Ho: pH:P(Type integers or decimals. Do not round.) Determine the null and alternative hypotheses.Hip(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)OA There is one critical value etrOB There are two critical values at reIs there sufficient evidence to support the claim that there is a Inear correlation between the weights of bears and their chest sizes? Choose the correct answerbelow and, if necessary, fil in the answer box within your choice(Round to three decimal places as needed)OA No, because the absolute value of the test statisticexceeds the critical valueOB. Yes, because the absolute value of the test statisticexceeds the critical valueClick to select your answerts)Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Resultsare showrin the accompanying display. Is there sufficient evidence to support the claim that there is a linear correlation betweenthe weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size thanweight? If so, does it appear that a measured chest size can be used to prodict the weight? Use a significance level of a= 0.05.Is there sufficient evidence to support the daim that there is a linear correlation betwoen the weights of bears and their chest sizes? Choose the correct answbelow and, if necessary, fill in the answer box within your choice.(Round to three decimal places as needed.)OA No, because the absolute value of the test statisticexcoeds the critical value.OB. Yes, because the absolute value of the test statisticexceeds the critical value

Answered: Image /qna-images/answer/16ad422b-1ed1-4f04-9e3e-ff1b46a7fcc4.jpg

Answered: Fifty-four wild bears were…

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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D Correlation coeff, r: 0.961961 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 Correlation Results display. Is there sufficient evidence to support 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 a measured chest size can be used to predict the weight? Use a significance level of a=0.05. Critical r: +0.2680855 P-value (two tailed): 0.000 C -- there is not a linear correlation between the two. OB. Yes, it is easier to measure a chest size than a weight because measuring weight would require lifting the bear onto the scale. The chest size could not be used to predict weight because there is too much variance in the weight of the bears. OC. Yes, it is easier to measure a chest size than a weight because measuring weight…
at the 0.05 significance level, does the data below show significant correlation. x is 3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18, y is 19.07, 25.46, 26.95,34.34,24.73,28.82,35.71,43.6,35.19,41.48,49.07,53.46,52.05,53.64,51.43,63.92. yes, significant correlation or no.
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 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 a measured chest size can be used to predict the weight? Use a significance level of α=0.05. Correlation Results Correlation coeff, r: 0.963947 Critical r: ±0.2680855 P-value (two tailed): 0.000 Determine the null and alternative hypotheses. H0: ρ is: = 0 H1: ρ is: ≠ 0 Given all the information provided: Identify the correlation coefficient, r. r= _____ (round to three decimal places)
A newspaper collected information on schools in its circulation area in order to compare their quality. Two Which is a true statement regarding Springside? measures the newspaper collected for each school, O Springside does not affect the correlation. mean class size and mean score on a statewide O Springside weakens the correlation shown in the scatterplot. reading exam, are shown in the scatterplot. One school in the report, Springside Elementary, is labeled in the graph. O Springside strengthens the correlation shown in the scatterplot. O Removing Springside would increase the value of the correlation coefficient. Comparing Schools 90 Springside 70 60 50 40 Save and Exit Next Submit Mark this and return ContentViewers/AssessmentViewer/Activity# ch hp Mean State Test Score
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 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 a measured chest size can be used to predict the weight? Use a significance level of a = 0.05 Question: Determine the null and alternative hypotheses
Media periodically discuss the issue of heights of winning presidential candidates and heights of their main opponents. The accompanying table lists the heights (cm) from several recent presidential elections. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Should we expect that there would be a correlation? Use a significance level of a = 0.05. Click the icon to view the heights of the candidates. Construct a scatterplot. Choose the correct graph below. O A. 200- 160+ 160 W 200 President Height (cm) Q Q The linear correlation coefficientis r= (Round to three decimal places as needed.) Determine the null and alternative hypotheses. Ho: P H₁: P (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.)…
A university would like to describe the relationship between the GPA and the starting monthly salary of a graduate who earned a business degree from the university. The table shown below gives the monthly starting salaries for five graduates of the business school along with their corresponding GPAs. These data have a sample correlation coefficient, rounded to three decimal places, of 0.965. Using x=0.10, test if the population correlation coefficient between the starting salary and the GPA of a university business graduate is greater than zero. Starting Salary $2,600 $2,900 GPA 3.1 3.4 What are the correct null and alternative hypotheses? O A. Ho: p0. H₁₂₁: p=0 $2,400 2.6 O C. Ho: p≤0 H₁: p>0 What is the test statistic? t = (Round to two decimal places as needed.) What is the p-value? p-value = (Round to three decimal places as needed.) State the conclusion. Ho. There $2,900 3.7 $2,200 2.5 OB. Ho: p=0 H₁:p #0 O D. Ho: p20 H₁: p<0 enough evidence from the sample to conclude that p is…
ab! ourses The accompanying technology output was obtained by using the paired data consisting of foot lengths (cm) and heights (cm) of a sample of 40 people. Along with the paired sample data, the technology was also given a foot length of 13.6 cm to be used for predicting height. The technology found that there is a linear correlation between height and foot length. If someone has a foot length of 13.6 cm, what is the single value that is the best predicted height for that person? "se Hom E Click the icon to view the technology output. abus The single value that is the best predicted height is cm. endar (Round to the nearest whole number as needed.) entation ktbook a-F on unouncem ssignment: cudy Plan radebook Hydrogen Report.pdf Enter your answer in the answer box. Screen Shot 20-11...9.53 P 5,981 10 tv MacBook Pro (5
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. Click the icon to view the critical values for the correlation coefficient. Score 70+ r= 60- (a) Which variable is likely the explanatory variable and which is the response variable? A. The explanatory variable is commute time and the response variable is the well-being score because commute time affects the well-being score. B. The explanatory variable is commute time and the response variable is the well-being score because well-being score affects the commute time score. C. The explanatory variable is the well-being score and the response variable is commute time because commute time affects the well-being score. D. The explanatory variable is the well-being score and the response variable is commute time because well-being score affects the commute time. (b) Draw a scatter diagram of the data. Which…
Is the correlation about 0.02, 0.22, or 0.92 with the outlier? Without this outlier, is the correlation about 0.18, 0.78, or 0.98? Is the outlier is an influential point to the correlation?
find linear correlation coefficient, P value, and test statistic.
What effect does an outlier have on a correlation coefficient? Would it increase, decrease or stay the same?

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