Question

In: Statistics and Probability

Excel is recommended for this problem. Data showing the values of several pitching statistics for a...

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.

Solutions

Expert Solution

Regression Analysis
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


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