In: Statistics and Probability
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
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