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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. ​ (a) Draw a scatter diagram of the​ data, treating height as the explanatory variable and weight as the response variable.

Player             Height_(inches)

           Weight_(pounds)

Player_1                     76                              225

Player_2                     75                              197

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

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.

(a)  Draw a scatter diagram of the​ data, treating height as the explanatory variable and weight as the response variable.

(b) 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.

A.    y =8.1308.130x – 99.6

B. y =negative 99.6−99.6x +4.130

C. y =4.1304.130x −101.6

D. y =4.1304.130x – 99.6

Test whether there is a linear relation between height and weight at the α=0.05 level of significance.

What is the null and alternative hypotheses?

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.

A.    

Do not reject H0. There is not 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.   

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 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.)

What is the appropriate conclusion at the α=0.05 level of significance.

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.   

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.

 
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