This test: 10 point(s) Test: Chapter 10 Test Question 5 of 10 possible This question: 1 Submit test pointis) possible Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.) 10 8.13 13 Click here to view a table of critical values for the correlation coefficient. CHED a. Construct a scatterplot. Choose the correct graph below. OA 5. Find the linear correlation co cient. F. then d to support the claim of a linear correlation between the two variables. The linear correlation coefficient is r - (Round to three decimal places as needed. Using the linear correlation coefficient found in the previous step, de between the two variables. Choose the correct answer below O A. There is insufficient evidence to support the claim of a linear correlation between the two variables O B. There is sufficient evidence to support the claim of a nonlinear correlation between the two variables O C. There is insufficient evidence to support the claim of a or correlation between the two variables. O D. There is suffic con the two va c. Identify the feature of the data that would be missed if part (b) was completed without constructing the scatterplot. Choose the correct answer below. O A. The scatterplot reveals a distinct pattern that is a straight-line pattern with positive slope. O B. The scatterplot does not reveal a distinct pat O C. The scatterplot reveals a distinct pattern that is not a straight-line pattern. O D. The scatterplot reveals a distinct pattern that is a straight-line pattern with negative slope est: Chapter 10 Test * Question 6 of 10 This question: 1 pointis) possible Submit lost Police sometimes monsure shoe prints at crime soones so that they can learn something iminnig, Listed d below are shoe print lengths, foot lengths, and heights of males. Construct a scatterplot. fired the value of the linear correlation coolliient 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 Shoe Print (em) 30 3 30.4 27.1 5 182 2 1714 1741 Consmack a scatterplot. Choose the correct graph below OA OB c. a a thes Primicm how Print cami sos Print tomi The Inanr correlation confficlant is r= (Round to Three decimal places as needed.) Determine the null and alternative hypotheses (Type Integers or dedmals. Do not round.) The test statistic Is to Found to two decimal pincats its needed.) The P-value is]. Round to three decimal places as needed.] Because the P-value of the linear onrelation cooff client is the significance level. there sufficient evidence to support the claim that there is a insur correlation between shoe print longits and heights of males. A. Yes, because shoe print length and height appear to be correlated " B. No, because shoe print length and haight do not 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. This test: 10 points) est: Chapter 10 Test Question 7 of 10 possible This question: 1 points) possible Submit test Listed below are the numbers of cricket chirps in 1 minute and the corresponding temperatures in "F. Find the regression equation, letting chirps in 1 minute be the independant (x) variable. Find the best predicted temperature at a time when a cricket chirps 3000 times in 1 minute, using the regression equation. What is wrong with this predicted temperature? Chirps in 1 min 1026 887 765 803 1144 1229 1004 1214 Temperature ("F] 77.8 78.3 69.5 67.4 88.1 95.7 78.1 92.9 The regression equation is y = + ( )x. Round the y-Intercept to one decimal place as needed. Round the slope to four decimal places as needed.} The best predicted temperature at a time when a cricket chirps 3000 times in 1 minute, based on the regression equation, is "F. (Round to the nearest integer as needed. What is wrong with this predicted temperature? O A. It is only an approximation. An unrounded value would be considered accurate B. It is unrealistically high. The val we 3000 is far outside of the range of observed values. O C. The chirpa in 1 m pandent variable. O D. Nothing is wrong wit can be treated as an accurate prediction