Question 32 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 thevalue 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 itappear that police can use a shoe print length to estimate the height of a male? Use a significance level of a = 0.01.Shoe Print (cm)Foot Length (cm)Height (cm)Construct a scatterplot. Choose the correct graph below.O A.OB.6€+F4200-T160-$251.to 930.7 30.7 31.1 31.427.025.2 24.5 27.7 27.0 25.2176.2 181.9 184,8 169.8 169.5Shoe Print (cm)F535The linear correlation coefficient is r=(Round to three decimal places as needed)Determine the null and alternative hypotheses.► 11Ho PH₁ p▼(Type integers or decimals. Do not round.)01QGF6F76200-160-F825Shoe Print (cm)F935QDELLF10!!!Cwww="F11O C.6200-160-25Shoe Print (cm)F1235QQPrtScrInsertO D.Height (cm)200160+25Shoe Print (cm)Delete35QNextPgUp PgDn HomeEnd F341EPolice 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 thevalue 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 itappear that police can use a shoe print length to estimate the height of a male? Use a significance level of a=0.01.Shoe Print (cm)Foot Length (cm)Height (cm)по-р LH₁ 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.).F4$30.725.2176.2Because the P-value of the linear correlation coefficient islengths and heights of males.Based on these results, does it appear that police can use a shoe print length to estimate the height of a maleOA. 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.4RF530.7 31.1 31.424.5 27.727.0181.9 184.8 169.8 169.527.025.2► 11%5TF616F7YF8&710.UF9**8the significance level, there0DELLF10Sug((...)9OF1120%6)OPsufficient evidence to support the claim that there is a linear correlation between shoe printis notISF12Q2PrtScr10BI{+ 11InsertDeleteBackspacePgUpNumLock87PgDnNext8Home*End9

The number of observations is n = 5.

plot, Police sometimes measure shoe prints at crime scenes so that they can learn something about criminals. Listed below are shoe print lengths, loot lengths, and heights of males. 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=0.01. Shoe Print (cm) Foot Length (cm) Height (cm) Construct a scatterplot. Choose the correct graph below. OA. OB. 200- 160++ 25 T 30.7 30.7 31.1 31.4 27.0 25.2 24.5 27.7 27.0 25.2 176.2 181.9 184.8 169.8 169.5 THE C Q 35 Shoe Print (cm) Q B The linear correlation coefficient is r= (Round to three decimal places as needed) Determine the null and alternative hypotheses ▼ Ho: P H₁ PY (Type integers or decimals. Do not round.) 6 200 160- 25 > Shoe Print (cm) Q Q C D CE O C. 6 H 200 160+ 25 F Shoe Print (cm) Q Q G O D. Height (cm) 6 200 160+ 25 2 Shoe Print (cm) 35 Q Q Next