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,...

Extracted 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 =0.05. Shoe Print (cm) Foot Length (cm) Height (cm) 28.9 28.9 30.5 30.8 26.7 26.2 26.0 27.7 26.4 24.6 178.6 180.9 179 181.9 178.6 ..... Construct a scatterplot. Choose the correct graph below. OA. O B. O D. 200- 200- 200- 200- 160- 25 Shoe Print (cm) 160+ 160- 160- 25 Shoe Print (cm) 25 35 25 35 35 Shoe Print (cm) Shoe Print (cm) The linear correlation coefficient is r= (Round to three decimal places as needed.) Determine the null and alternative hypotheses. Ho: P H: 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.) Because the P-value of the linear correlation coefficient is the significance level, there sufficient evidence to support the claim that there is a linear correlation between shoe print lengths 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 male? Height (cm) Height (cm) of Height (cm) Height (cm) 35


Extracted text: ..... 160- 25 Shoe Print (cm) 160+ 25 35 35 Shoe Print (cm) 160- 25 35 Shoe Print (cm) 160- 25 35 Shoe Print (cm) The linear correlation coefficient is r=. (Round to three decimal places as needed.) Determine the null and alternative hypotheses. Ho:P Hy: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.) Because the P-value of the linear correlation coefficient is V the significance level, there sufficient evidence to support the claim that there is a linear correlation between shoe print lengths 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 male? O A. No, because shoe print length and height do not appear to be correlated. O B. Yes, because shoe print length and height do not appear to be correlated. O C. Yes, because shoe print length and height appear to be correlated. O D. No, because shoe print length and height appear to be correlated. Height (c Height (c Height (d Height (c