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) ▼ 29.6 29.6 30.5 30.7 27.4 25.2 26.3 27.0 27.0 24.6 180.7 182.7 189.9 168.6 176.3 Ho: P| 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.) ← the significance level, there Because the P-value of the linear correlation coefficient is 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 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 do not appear to be correlated. sufficient evidence to support the claim that there is a linear correlation