Homework: Section 10-3 HW 1 8 of10 [10 complete)v ) 55 Question Help Q Fihdthe regression equation, letting overhead Width be the predictor (x) variable. Fihdthe best predictedweight ofa seal irthe overhead width measuredom a photograph is 24 cm Can the prediction be correct?What is wrong with predicting the weight In this case? Use a Signicance level old 05 DverheadWidth (cm) 74 7 9 9.1 3.4 3.9 9.2 Weight (kg) 155 211 253 201 245 2E5 @ CllCK the lCOl'l l0 View the Cl'lllCl values ofthe Pearson correlation coefcient l. The regression equation is )7 =||_|+ x. (Roundto one decimal place as needed.) Can the prediction be correct? What is wrong with predicting the weight in this case? A.The prediction cannot be correct because there is not sufcient evidence of a linear correlation. The width in this case is beyond the scope of the available sample data. B.The prediction cannot be correct because a negative weight does not make sense. The width in this case is beyond the scope of the available sample data. C.The prediction cannot be correct because a negative weight does not make sense. The regression does not appear to be useful for making predictions. El D.The prediction can be correct. There is nothing wrong with predicting the weight in this case. The best predicted weight for an overhead width of 2.5 cm is [Round to one decimal place as needed.) Enteryour answer in the edit elds and then click Check Answer. 9 Parts. _ java scriptsd oExerciseBJ; Ji-ll'i (Ll) More Clear All Homework: Section 10-3 HW Score: 0.24 of1 pl 1 6 of10 (10comp19191v ) HW Score: 41.08%, 4.11 of 10 p15 a e Critwca' Va'ues of the Pearson Correlation Coefcwentr _ Fi 1h 6 Critical Venues oftne Pearson Correlatwon Coe'lclentr NOTE: To test Ho: p: 0 " W n u:0.05 E:001 agawnstH' pi 0,rejec1 7 4 0.950 0 990 Ho Ihe abso'ute value I 5 0 373 0 959 ofrls greatertnantne , 6 0.311 0 917 crmca' value In the table Tr 7 0754 0 B75 (Fl 8 0.707 0 33-4 9 0.666 0 79B 10 0.632 0 765 11 0 602 0 735 12 0.576 0 70B 13 0 553 0 664 14 0.532 0 661 15 0 514 0 641 16 0.497 0 623 17 0432 0 606 13 0.463 0 590 19 0.456 0 575 20 0.444 0 561 25 0.396 0 505 30 0.361 0 463 35 0.335 0 430 v Pnnt Done 9 ... \\