Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Correlation ResultsResults are shown in the accompanying display. Is there sufficient evidence to support the claim that there is a linearcorrelation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier tomeasure 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.Correlation coeff, r: 0.966175Critical r:±0.2680855P-value (two tailed): 0.000Determine the null and alternative hypotheses.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.)A. There is one critical value at r=O B. There are two critical values at r= +Is there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest sizes? Choose the correctanswer below and, if necessary, fill in the answer box within your choice.(Round to three decimal places as needed.)A. Yes, because the test statisticfalls between the critical values.O B. Yes, because the absolute value of the test statisticexceeds the critical value.O C. No. because the test statisticfalls between the critical values.O D. No, because the absolute value of the test statisticexceeds the critical valueO E. The answer cannot be determined from the given information. 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 topredict the weight?O A. No, it is easier to measure weight than chest size because the chest is not a flat surface.O B. 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 sizecould not be used to predict weight because there is too much variance in the weight of the bears.O C. 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 sizecould be used to predict weight because there is a linear correlation between the two.O D. 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 sizecould not be used to predict weight because there is not a linear correlation between the twoClick to select your answer(s).

Solution: Given information: n= 54 observation correlation coefficient r= 0.966175 Critical r =…

lity-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Correlation Results 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. Correlation coeff, r: 0.966175 Critical r: ±0.268085 P-value (two tailed): 0.000 Determine the null and alternative hypotheses. Ho P (Type integers or decimals. Do not round.) Identify the correlation coefficient, r. (Round to three decimal places as needed.) r= Identify the critical value(s). (Round to three decimal places as needed.) OA. There is one critical ualu

lity-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Correlation Results 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. Correlation coeff, r: 0.966175 Critical r: ±0.268085 P-value (two tailed): 0.000 Determine the null and alternative hypotheses. Ho P (Type integers or decimals. Do not round.) Identify the correlation coefficient, r. (Round to three decimal places as needed.) r= Identify the critical value(s). (Round to three decimal places as needed.) OA. There is one critical ualu

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

A hospital found that a lower outside temperature indicates a higher number of patient visits. What can we determine from this information? There is no correlation between outside temperature and number of patient visits. There is a correlation between outside temperature and number of patient visits. However, there is no causation. This is because there is an increase in the number of patient visits with a decrease in the temperature outside. There is a correlation between outside temperature and number of patient visits. There may or may not be causation. Further studies would have to be done to determine this.
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 Correlation Results 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. Correlation coeff, r: 0.969467 Critical r: +0.2680855 P-value (two tailed): 0.000 ..... Determine the null and alternative hypotheses. Ho: P (Type integers or decimals. Do not round.) 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.) A. There are two critical values at r= + В. There is one critical value at r= Is there sufficient evidence to support the…
Police sometimes measure shoe prints at crime scenes so that they can learn something about criminals. Listed below are shoe print lengths, foot lengths, and heights of males. 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. Based on these results, does it appear that police can use a shoe print length to estimate the height of a male? Use a significance level of α=0.05. Shoe Print (cm) Foot Length (cm) Height (cm)29.7 25.5 180.530.6 25.6 17431.8 27.8 192.433.0 26.6 181.927.3 25.0 173.4 The linear correlation coefficient is r= (Round to three decimal places as needed.) =0/=0 The test statistic is t= (Round to two decimal places as needed.) The P-value is = (Round to three decimal places as needed.) (less than or equal to)/(is)
State whether the following Scatter plot has: 1- Positive correlation 2- Negative correlation 3 No correlation Next Question
For a data set of weights (pounds) and highway fuel consumption amounts (mpg) of twelve types of automobile, the linear correlation coefficient is found and the P-value is 0.009. Write a statement that interprets the P-value and includes a conclusion about linear correlation.
please answer blank questions only and or ones with a red x next to them.
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)
The data provides information on life expectancy and the number of televisions per thousand people in a sample of 22 countries, as reported by the world almanac and book of facts 2006 A. Describe the Direction and strength of the correlation between the two variables B. Because of the association between the variables, someone might mistakenly conclude that simply sending televisions to the countries with the lower life expectancies would cause their inhabitants to live longer. Comment on this argument and the reason televisions are likely associated with longer life expectancies C. In general, if two variables are strongly associated, does it follow there must be a cause and effect relationship between them? Explain
Police sometimes measure shoe prints at crime scenes so that they can learn something about criminals. Listed below are shoe print lengths, foot lengths, and heights of males. 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. Based on these results, does it appear that police can use a shoe print length to estimate the height of a male? Use a significance level of α=0.01. Shoe Print (cm) 29.0 29.0 31.2 31.7 27.1 Foot Length (cm) 26.3 24.9 28.0 26.0 25.7 Height (cm) 177.5 173.1 181.1 181.6 176.9
Statistics Question
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