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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 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 a-005 r, Shoe Print (cm) Foot Length (cm) Height (cm) 30.9 26.7 263 276 274 256 179.6 184.8 189 4 1769 174 Sheet() 309 318 32.1 27.7 O Construct a scatterplot. Choose the correct graph below COA Q C The linear correlation coefficient is r- (Round to three decimal places as needed) Determine the null and alternative hypotheses. H₂ PML H₂ P (Type integers or decimals. Do not round) The test statistic is 1- (Round to two decimal places as needed) OB. The P-value is (Round to three decimal places as needed) Because the P-value of the linear conelation coefficient is the significance level, there Based on these results, does it appear that police can use a shoe print length to estimate the height of a male? OA. Yes, because shoe print length and height appear to be comelated OB. No, because shoe print length and height appear to be conelated OC. No, because shoe print length and height do not appear to be correlated OD. Yes because shoe print length and height do not appear to be correlated ent evidence to support the claim that the Oc B e is a linear comelation between shoe prind lengths and heights of males OD Q G

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 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 a-005 r, Shoe Print (cm) Foot Length (cm) Height (cm) 30.9 26.7 263 276 274 256 179.6 184.8 189 4 1769 174 Sheet() 309 318 32.1 27.7 O Construct a scatterplot. Choose the correct graph below COA Q C The linear correlation coefficient is r- (Round to three decimal places as needed) Determine the null and alternative hypotheses. H₂ PML H₂ P (Type integers or decimals. Do not round) The test statistic is 1- (Round to two decimal places as needed) OB. The P-value is (Round to three decimal places as needed) Because the P-value of the linear conelation coefficient is the significance level, there Based on these results, does it appear that police can use a shoe print length to estimate the height of a male? OA. Yes, because shoe print length and height appear to be comelated OB. No, because shoe print length and height appear to be conelated OC. No, because shoe print length and height do not appear to be correlated OD. Yes because shoe print length and height do not appear to be correlated ent evidence to support the claim that the Oc B e is a linear comelation between shoe prind lengths and heights of males OD Q G

MATLAB: An Introduction with Applications
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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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 a -0.05. Shoe Print (cm) Foot Length (cm) Height (cm) Construct a scatterplot. Choose the correct graph below COA 200- 150 30.9 31.8 32.1 27.7 30.9 26.7 26.3 27.6 27.4 25.6 179.6 1848 189.4 178.9 174 25 35 Shoe Print (m) Q The linear correlation coefficient is r- (Round to three decimal places as needed.) Determine the null and alternative hypotheses. Ho: PL 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.) OB OA. Yes, because shoe print length and height appear to be correlated. OB. No, because shoe print length and height appear to be correlated OC. No, because shoe print length and height do not appear to be correlated OD. Yes, because shoe print length and height do not appear to be correlated 200- 160- Shee Pret Because the P-value of the linear correlation coefficient is the significance level, there Based on these results, does it appear that police can use a shoe print length to estimate the height of a male? Q a Oc. Q Q L sufficient sufficient cient evidence to support the claim that there is a linear correlation between shoe print lengths and heights of males OD. 200 a Q
Transcribed Image Text: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 a -0.05. Shoe Print (cm) Foot Length (cm) Height (cm) Construct a scatterplot. Choose the correct graph below COA 200- 150 30.9 31.8 32.1 27.7 30.9 26.7 26.3 27.6 27.4 25.6 179.6 1848 189.4 178.9 174 25 35 Shoe Print (m) Q The linear correlation coefficient is r- (Round to three decimal places as needed.) Determine the null and alternative hypotheses. Ho: PL 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.) OB OA. Yes, because shoe print length and height appear to be correlated. OB. No, because shoe print length and height appear to be correlated OC. No, because shoe print length and height do not appear to be correlated OD. Yes, because shoe print length and height do not appear to be correlated 200- 160- Shee Pret Because the P-value of the linear correlation coefficient is the significance level, there Based on these results, does it appear that police can use a shoe print length to estimate the height of a male? Q a Oc. Q Q L sufficient sufficient cient evidence to support the claim that there is a linear correlation between shoe print lengths and heights of males OD. 200 a Q
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