A pediatrician wants to determine the relation that may exist between a​ child's height and head circumference. She randomly selects 5 children and measures their height and head circumference. The...


A pediatrician wants to determine the relation that may exist between a​ child's height and head circumference. She randomly selects 5 children and measures their height and head circumference. The data are summarized below. A normal probability plot suggests that the residuals are normally distributed. Complete parts​ (a) and​ (b) below.
























Height​ (inches), x


26.5


26.75


25.5


27.5


25




Head Circumference​ (inches), y


17.3


17.3


17.1


17.5


16.9


​(a) Use technology to determine sb1.



sb1=_____?


​(Round to four decimal places as​ needed.)


(b) Test whether a linear relation exists between height and head circumference at the
α=0.01

level of significance. State the null and alternative hypotheses for this test.


Choose the correct answer below.





A. H0​: β1=0 H1​: β1>0





B. H0​: β0=0 H1​: β0≠0





C. H0​: β0=0 H1​: β0>0





D. H0​: β1=0 H1​: β1≠0



Determine the​ P-value for this hypothesis test.



​P-value=____?

​(Round to three decimal places as​ needed.)



What is the conclusion that can be​ drawn?





A. Do not reject H0 and conclude that a linear relation does not exist


between a​ child's height and head circumference at the level of significance
α=0.01.






B. Do not reject H0 and conclude that a linear relation exists

between a​ child's height and head circumference at the level of significance
α=0.01.






C. Reject H0 and conclude that a linear relation exists

between a​ child's height and head circumference at the level of significance
α=0.01.






D. Reject H0 and conclude that a linear relation does not exist

between a​ child's height and head circumference at the level of significance
α=0.01.









Jun 09, 2022
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