Question

In: Statistics and Probability

The data in the accompanying table represent the heights and weights of a random sample of...

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   75   227
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

​(a) Draw a scatter diagram of the​ data

​(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.

ŷ =−93.9x+4.058

B.

ŷ =4.058x−93.9

C.

ŷ =4.058x−95.9

D.

ŷ =8.058x−93.9

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​: β1=0

H1​: β1>0

B.

H0​: β0=0

H1​: β0≠0

C.

H0​: β1=0

H1​: β1≠0

D.

H0​: β0=0

H1​: β0>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 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.

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.)

State the appropriate conclusion at the α=0.05 level of significance. Choose the correct answer below.

A.

Reject H0.

There is sufficient evidence to conclude that a linear relation exists between the height and weight of baseball players.

B.

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.

Do not reject H0.

There is sufficient evidence to conclude that a linear relation exists between the height and weight of baseball players.

D.

Reject H0.

There is not 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?

No

Yes

Solutions

Expert Solution

H(x) W(y)
P1 75 227
P2 75 195
P3 72 180
P4 82 231
P5 69 185
P6 74 190
P7 75 228
P8 71 200
P9 75 230
SUMMARY OUTPUT
Regression Statistics
Multiple R 0.691020025
R Square 0.477508676
Adjusted R Square 0.402867058
Standard Error 16.48318806
Observations 9
ANOVA
df SS MS F Significance F
Regression 1 1738.131579 1738.131579 6.397351635 0.039273172
Residual 7 1901.868421 271.6954887
Total 8 3640
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept -93.85263158 119.205537 -0.78731772 0.456920945 -375.7289353 188.0236721 -375.7289353 188.0236721
H(x) 4.057894737 1.604355715 2.529298645 0.039273172 0.264196305 7.851593169 0.264196305 7.851593169

ŷ =4.058 * x − 93.9

W = 4.058 * H − 93.9

H0​: β0=0

H1​: β0≠0

P value = 0.039(from above table) < 0.05

Reject H0.

There is sufficient evidence to conclude that a linear relation exists between the height and weight of baseball players.

H(x) W(y)
P1 75 227
P2 75 195
P3 72 180
P5 69 185
P6 74 190
P7 75 228
P8 71 200
P9 75 230
SUMMARY OUTPUT
Regression Statistics
Multiple R 0.658557069
R Square 0.433697413
Adjusted R Square 0.339313648
Standard Error 16.85477183
Observations 8
ANOVA
df SS MS F Significance F
Regression 1 1305.375 1305.375 4.595042534 0.075772266
Residual 6 1704.5 284.0833333
Total 7 3009.875
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept -227.8 201.6993486 -1.129403747 0.30184836 -721.3405255 265.7405255 -721.3405255 265.7405255
H(x) 5.9 2.752372714 2.143605032 0.075772266 -0.834813399 12.6348134 -0.834813399 12.6348134

P value = 0.07577 > 0.05

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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