In: Statistics and Probability
Excel is recommended for this problem.
Data showing the values of several pitching statistics for a random sample of 20 pitchers from the American League of Major League Baseball is provided.
Player | Team | W | L | ERA | SO/IP | HR/IP | R/IP |
---|---|---|---|---|---|---|---|
Verlander, J | DET | 24 | 5 | 2.40 | 1.00 | 0.10 | 0.29 |
Beckett, J | BOS | 13 | 7 | 2.89 | 0.91 | 0.11 | 0.34 |
Wilson, C | TEX | 16 | 7 | 2.94 | 0.92 | 0.07 | 0.40 |
Sabathia, C | NYY | 19 | 8 | 3.00 | 0.97 | 0.07 | 0.37 |
Haren, D | LAA | 16 | 10 | 3.17 | 0.81 | 0.08 | 0.38 |
McCarthy, B | OAK | 9 | 9 | 3.32 | 0.72 | 0.06 | 0.43 |
Santana, E | LAA | 11 | 12 | 3.38 | 0.78 | 0.11 | 0.42 |
Lester, J | BOS | 15 | 9 | 3.47 | 0.95 | 0.10 | 0.40 |
Hernandez, F | SEA | 14 | 14 | 3.47 | 0.95 | 0.08 | 0.42 |
Buehrle, M | CWS | 13 | 9 | 3.59 | 0.53 | 0.10 | 0.45 |
Pineda, M | SEA | 9 | 10 | 3.74 | 1.01 | 0.11 | 0.44 |
Colon, B | NYY | 8 | 10 | 4.00 | 0.82 | 0.13 | 0.52 |
Tomlin, J | CLE | 12 | 7 | 4.25 | 0.54 | 0.15 | 0.48 |
Pavano, C | MIN | 9 | 13 | 4.30 | 0.46 | 0.10 | 0.55 |
Danks, J | CWS | 8 | 12 | 4.33 | 0.79 | 0.11 | 0.52 |
Guthrie, J | BAL | 9 | 17 | 4.33 | 0.63 | 0.13 | 0.54 |
Lewis, C | TEX | 14 | 10 | 4.40 | 0.84 | 0.17 | 0.51 |
Scherzer, M | DET | 15 | 9 | 4.43 | 0.89 | 0.15 | 0.52 |
Davis, W | TB | 11 | 10 | 4.45 | 0.57 | 0.13 | 0.52 |
Porcello, R | DET | 14 | 9 | 4.75 | 0.57 | 0.10 | 0.57 |
An estimated regression equation was developed to predict the average number of runs given up per inning pitched (R/IP) given the average number of strikeouts per inning pitched (SO/IP) and the average number of home runs per inning pitched (HR/IP).
R/IP = 0.5365 - 0.2483 SO/IP + 1.032 HR/IP |
(a)
Use the F test to determine the overall significance of the relationship.
State the null and alternative hypotheses.
H0: One or more of the parameters is not
equal to zero.
Ha: β1 = β2 =
0H0: β0 = 0
Ha: β0 ≠
0 H0: β1 =
β2 = 0
Ha: One or more of the parameters is not equal
to zero.H0: β0 ≠ 0
Ha: β0 = 0H0:
β1 = β2 = 0
Ha: All the parameters are not equal to
zero.
Calculate the test statistic. (Round your answer to two decimal places.)
Calculate the p-value. (Round your answer to three decimal places.)
p-value =
What is your conclusion at the 0.05 level of significance?
Reject H0. There is insufficient evidence to conclude that there is a significant overall relationship.
Reject H0. There is sufficient evidence to conclude that there is a significant overall relationship.
Do not reject H0. There is insufficient evidence to conclude that there is a significant overall relationship.
Do not reject H0. There is sufficient evidence to conclude that there is a significant overall relationship.
(b)
Use the t test to determine the significance of SO/IP.
State the null and alternative hypotheses.
H0: β1 ≠ 0
Ha: β1 = 0H0:
β1 = 0
Ha: β1 ≠
0 H0: β1 ≥
0
Ha: β1 < 0H0:
β1 ≤ 0
Ha: β1 > 0H0:
β1 = 0
Ha: β1 > 0
Find the value of the test statistic for β1. (Round your answer to two decimal places.)
Find the p-value for β1. (Round your answer to three decimal places.)
p-value =
What is your conclusion at the 0.05 level of significance?
Reject H0. There is insufficient evidence to conclude that SO/IP is a significant factor.
Reject H0. There is sufficient evidence to conclude that SO/IP is a significant factor.
Do not reject H0. There is sufficient evidence to conclude that SO/IP is a significant factor.
Do not reject H0. There is insufficient evidence to conclude that SO/IP is a significant factor.
Use the t test to determine the significance of HR/IP.
State the null and alternative hypotheses.
H0: β2 = 0
Ha: β2 > 0H0:
β2 ≤ 0
Ha: β2 >
0 H0: β2 ≥
0
Ha: β2 < 0H0:
β2 ≠ 0
Ha: β2 = 0H0:
β2 = 0
Ha: β2 ≠ 0
Find the value of the test statistic for β2. (Round your answer to two decimal places.)
Find the p-value for β2. (Round your answer to three decimal places.)
p-value =
What is your conclusion at the 0.05 level of significance?
Do not reject H0. There is insufficient evidence to conclude that HR/IP is a significant factor.
Reject H0. There is sufficient evidence to conclude that HR/IP is a significant factor.
Reject H0. There is insufficient evidence to conclude that HR/IP is a significant factor.
Do not reject H0. There is sufficient evidence to conclude that HR/IP is a significant factor.
Regression Analysis | |||||||
R² | 0.563 | ||||||
Adjusted R² | 0.512 | n | 20 | ||||
R | 0.751 | k | 2 | ||||
Std. Error | 0.054 | Dep. Var. | R/IP | ||||
ANOVA table | |||||||
Source | SS | df | MS | F | p-value | ||
Regression | 0.0635 | 2 | 0.0317 | 10.97 | .0009 | ||
Residual | 0.0492 | 17 | 0.0029 | ||||
Total | 0.1127 | 19 | |||||
Regression output | confidence interval | ||||||
variables | coefficients | std. error | t (df=17) | p-value | 95% lower | 95% upper | std. coeff. |
Intercept | 0.5365 | 0.0814 | 6.590 | 4.59E-06 | 0.3648 | 0.7083 | 0.000 |
SO/IP | -0.2483 | 0.0718 | -3.459 | .0030 | -0.3998 | -0.0968 | -0.567 |
HR/IP | 1.0319 | 0.4359 | 2.367 | .0300 | 0.1123 | 1.9516 | 0.388 |
ANSWERS:
(a)
H0: β1 = β2 = 0
Ha: One or more of the parameters is not equal
to zero
F- score = 10.97
p- value = 0.001
Reject H0. There is sufficient evidence to conclude that there is a significant overall relationship.
(b)
H0: β1 = 0
Ha: β1 ≠ 0
t- score =-3.46
p- value = 0.003
Reject H0. There is sufficient evidence to conclude that SO/IP is a significant factor
(c)
H0: β2 = 0
Ha: β2 ≠ 0
t- score = 2.37
p- value = 0.030
Reject H0. There is sufficient evidence to conclude that HR/IP is a significant factor