The data in the accompanying table represent the heights and weights of a random sample of professional baseball players. Complete parts (a) through (c) below.
Player Height_(inches) Weight_(pounds)
Player_1 76 225
Player_2 75 195
Player_3 72 180
Player_4 82 231
Player_5 69 185
Player_6 74 190
Player_7 75 228
Player_8 71 200
Player_9 75 230
(b) Determine the least-squares regression line. Test whether there is a linear relation between height and weight at the α=0.05 level of significance.
Determine the least-squares regression line. Choose the correct answer below.
A.^y =4.1174.117x−98.9
B.^y= −98.9x+4.117
C.^y=4.117x−100.9
D.^y =8.117x−98.9
Test whether there is a linear relation between height and weight at the α=0.05 level of significance.
State the null and alternative hypotheses. Choose the correct answer below.
A .H0:β0=0
H1:β0≠0
B. H0: β1=0
H1:β1>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.)
State the appropriate conclusion at the α=0.05 level of significance. Choose the correct answer below.
A.Reject H0. There is not sufficient evidence to conclude that a linear relation exists between the height and weight of baseball players.
B.Do not reject H0. There is sufficient evidence to conclude that a linear relation exists between the height and weight of baseball players.
C.Reject H0. There is sufficient evidence to conclude that a linear relation exists between the height and weight of baseball players.
D.Do not reject H0. There is not sufficient evidence to conclude that a linear relation exists between the height and weight of baseball players.
(c) Remove the values listed for Player 4 from the data table. Test whether there is a linear relation between height and weight. Do you think that Player 4 is influential?
Determine the P-value for this hypothesis test.
P-value=_____ (Round to three decimal places as needed.)
State the appropriate conclusion at the α=0.05 level of significance. Choose the correct answer below.
A.Do not reject H0. There is sufficient evidence to conclude that a linear relation exists between the height and weight of baseball players.
B.Reject H0. There is not sufficient evidence to conclude that a linear relation exists between the height and weight of baseball players.
C.Do not reject H0. There is not sufficient evidence to conclude that a linear relation exists between the height and weight of baseball players.
D.Reject H0. There is sufficient evidence to conclude that a linear relation exists between the height and weight of baseball players.
Do you think that Player 4 is influential?
A.No
B.Yes
Regression equation is
A.^y =4.117x − 98.9
D) Ho :- beta1 = 0. Vs. beta1 not equal to 0
t statistics = 2.7186
P value = 0.030
P value = 0.030 < 0.05 = alpha
C.Reject H0. There is sufficient evidence to conclude that a linear relation exists between the height and weight of baseball players.
Remove player 4
Regression equation is
Y ^ = - 214.0030 + 5.6985 x
T stat = 2.2847
P value = 0.06240 > 0.05 = alpha
Fail to reject Ho
C.Do not reject H0. There is not sufficient evidence to conclude that a linear relation exists between the height and weight of baseball players.
Yes , player 4 is influential.
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