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https:Mwww.mathxd.com/StudentIPlayerTest aspad?testid-15371871B&centerwinayes; U

ID: 3223844 • Letter: H

Question

https:Mwww.mathxd.com/StudentIPlayerTest aspad?testid-15371871B&centerwinayes; Updates Awa MATH 1530 J30Co-Requisite Quiz Chapter 10 Quiz mme Remaining: 0056:10 Submit Quiz his Question: 1 pt. 8 of 8 completel v This Quiz: 8 pts possible EQuestion Hop Use the given data settocomplete parts (a) through below. usea 005) 15 842 573 Pclok here to view a table of aitoal values for the oomelatoncoefdent b. Find the linear correlation coefficient, rthen detemine whether there is suffoertevidence to support the claim of a linear correlation between the Mo variables The linear oomelason coefficient isr (Round to three decimal places as needed.) Determine whether there is sarroient evidence to support the claim of a linear correlation between the two variables choose the corect answerbelow. O There is insundentevidence to support the damofalinear oorplator bewam Me variables B There is insuficient evidence to supportthe claim oMa nonlinear correlation between the two varabies O c. Thereissutscient evidence to support the daim a nonlinear oormulaton between the two valables OD. There is sufficient evidence to support ee dam af alnear oomeiason between the varables. 3 of e. dentry the feature the data that would be missed r part blwas oompleted wthout oonstnuosing the scatterplot Cheese the corect answer below O A. The scatenplot does not reveal a perfect staigtaine panen, and contains one outer B. The scaterplot does not reveal aperfect slaghline patterm C. The scaterplot roveals a Por oct straight ano panam and does not contain any outiers. O D. The scattervlot neveais a perfect straight-are partem, exoept for the presence of one aner Cick to select your answerts). MacBook Air W E

Explanation / Answer

(a0 r = 0.817

(b) Option D

(c) Option D

Regression Analysis r² 0.667 n   11 r   0.817 k   1 Std. Error   1.237 Dep. Var. y ANOVA table Source SS   df   MS F p-value Regression 27.5700 1   27.5700 18.02 .0022 Residual 13.7718 9   1.5302 Total 41.3419 10   Regression output confidence interval variables coefficients std. error    t (df=9) p-value 95% lower 95% upper std. coeff. Intercept 2.9988 0.000 x 0.5006 0.1179 4.245 .0022 0.2338 0.7674 0.817