Question

In: Statistics and Probability

Major League Baseball (MLB) consists of teams that play in the American League and the National...

Major League Baseball (MLB) consists of teams that play in the American League and the National League. MLB collects a wide variety of team and player statistics. Some of the statistics often used to evaluate pitching performance are as follows:

  • ERA: The average number of earned runs given up by the pitcher per nine innings. An earned run is any run that the opponent scores off a particular pitcher except for runs scored as a result of errors.
  • SO/IP: The average number of strikeouts per inning pitched.
  • HR/IP: The average number of home runs per inning pitched.
  • R/IP: The number of runs given up per inning pitched.

Complete the equation below for an estimated regression equation 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) (to 3 decimals).

R/IP =(___) + (___) SO/IP + (___) HR/IP

  1. Use the  test to determine the overall significance of the relationship.

    Compute F test statistic (to 2 decimals).

    (___)

    The p-value is  (to 3 decimals).

    (___)

  2. Use the t test to determine the significance of each independent variable.

    Compute the  test statistic for the significance of SO/IP (to 2 decimals).

    (___)

    The p-value is  (to 3 decimals).

    (___)

  3. Compute the t-test statistic for the significance of HR/IP (to 2 decimals).

    (__)

    The p-value is  (to 3 decimals).

    (__)

    Player Team W L ERA SO/IP HR/IP
    Verlander, J DET 24 5 2.39 1.00 0.10
    Beckett, J BOS 13 7 2.88 0.90 0.11
    Wilson, C TEX 16 7 2.93 0.92 0.07
    Sabathia, C NYY 19 8 3.00 0.96 0.06
    Haren, D LAA 16 10 3.16 0.81 0.07
    McCarthy, B OAK 9 9 3.32 0.71 0.05
    Santana, E LAA 11 12 3.38 0.78 0.11
    Lester, J BOS 15 9 3.46 0.95 0.10
    Hernandez, F SEA 14 14 3.47 0.94 0.08
    Buehrle, M CWS 13 9 3.58 0.52 0.09
    Pineda, M SEA 9 10 3.73 1.01 0.10
    Colon, B NYY 8 10 3.99 0.82 0.13
    Tomlin, J CLE 12 7 4.24 0.53 0.15
    Pavano, C MIN 9 13 4.29 0.46 0.09
    Danks, J CWS 8 12 4.32 0.78 0.11
    Guthrie, J BAL 9 17 4.32 0.63 0.12
    Lewis, C TEX 14 10 4.40 0.83 0.17
    Scherzer, M DET 15 9 4.42 0.89 0.15
    Davis, W TB 11 10 4.45 0.57 0.12
    Porcello, R DET 14 9 4.74 0.57 0.10

Solutions

Expert Solution

Answers:

*****************************************************************************************

Regression Equation:

HR/IP (Y) = -0.0772 + 0.0575 SO/IP (X1) + 0.0366 ERA (X2)

****************************************************************************************

Ans a) Excel Output:

F test statistic = 6.02

The p-value is = 0.249

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.643777
R Square 0.414449
Adjusted R Square 0.34556
Standard Error 0.024955
Observations 20
ANOVA
df SS MS F Significance F
Regression 2 0.007493 0.003747 6.016238 0.010576
Residual 17 0.010587 0.000623
Total 19 0.01808
Coefficients Standard Error t Stat P-value Lower 95% Upper 95%
Intercept -0.07718 0.064609 -1.19459 0.24865 -0.2135 0.059132
SO/IP (X1) 0.057508 0.04059 1.416797 0.174607 -0.02813 0.143147
ERA (X2) 0.036628 0.010818 3.385856 0.003514 0.013804 0.059451

*****************************************************************************************************************

Ans b)

The t-test statistic for the significance of SO/IP is = 1.42

The p-value is = 0.175

***************************************************************************

Ans c)

The t-test statistic for the significance of HR/IP is = 3.39

The p-value is = 0.014

****************************************************************************

If you want any additional information then please comment below I will provide you answer definitely.


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