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11. 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 = 0.01. Shoe Print (cm) 29.5 29.5 31.5 32.0 28.2 Foot Length (cm) | 26.4 26.1 28.0 27.5 25.8 Height (cm) 175.8 174 188.8 173.7 166.9 Construct a scatterplot. Choose the correct graph below. O A. B. O C. O D. 200- 200- 2007 20UT Height (cm) Height (cm) Height (cm) Height (cm) 160- 160 60 60 25 25 35 25 35 25 35 Shoe Print (cm) Shoe Print (cm) 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(1) H1 : p (2) (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 (3). the significance level, there (4) 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 appear to be correlated. O C. Yes, because shoe print length and height do not appear to be correlated O D. No, because shoe print length and height appear to be correlated. (1) O (2) 0 = (3) O less than or equal to (4) O is O