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. The data in the Excel Online file below show values for these statistics for a random sample of 20 pitchers from the American League for a season. Construct a spreadsheet to answer the following questions.
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. The data in the Excel Online file below show values for these statistics for a random sample of 20 pitchers from the American League for a season. Construct a spreadsheet to answer the following questions.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
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.
The data in the Excel Online file below show values for these statistics for a random sample of 20 pitchers from the American League for a season. Construct a spreadsheet to answer the following questions.

Transcribed Image Text:Excel template - Saved ✓
J2
File
123456789UIDE1
A
Player
Verlander, J
Beckett, J
Wilson, C
Sabathia, C
Haren, D
McCarthy, B
Santana, E
Lester, J
10 Hernandez, F
Buehrle, M
12 Pineda, M
13 Colon, B
14 Tomlin, J
Pavano, C
16 Danks, J
17 Guthrie, J
18
19
20 Davis, W
21
22
23
24
25
26
27
28
29
30
31
32
33
34
25
Home
15
Lewis, C
Scherzer, M
Porcello, R
Insert
B
Team
DET
BOS
TEX
NYY
LAA
OAK
LAA
BOS
SEA
CWS
SEA
NYY
CLE
MIN
CWS
BAL
TEX
DET
TB
DET
Arial
fx
с
W
24
H6969
13
16
19
16
11
15 14 13
9
8
12
9
8
9
14
15
11
14
Draw
5778 O
10
9
12
9
14
9
10
10
7327099
13
12
17
10
After reading these instructions delete all text in this shaded area.
D
I
J
H
R/IP
L
10
Page Layout
✓10
Data +
Calculation Mode: Automatic Workbook Statistics
E
ERA
B
2.40
2.89
2.94
2.99
3.17
3.32
3.37
3.46
3.46
3.59
3.74
3.99
4.24
4.30
4.33
4.32
4.39
4.42
4.44
4.75
F
SO/IP
Formulas
0.99
0.90
0.92
0.96
0.81
0.72
0.77
0.95
0.94
0.53
1.01
0.82
0.54
0.46
0.78
0.62
0.83
0.88
0.56
0.57
G
HR/IP
Search (Option
0.10
0.10
0.06
0.07
0.07
0.05
0.10
0.10
0.08
0.09
0.11
0.12
0.14
0.10
0.10
0.12
0.16
0.15
0.13
0.09
Data
Review
0.28
0.34
0.40
0.37
0.38
0.43
0.42
0.39
0.41
0.44
0.43
0.51
0.48
0.55
0.51
0.53
0.51
0.51
0.52
0.57
+ Q)
View
Help
K
General
L
←.0
.00
M
.00
→.0
N
P
After reading these instructions delete all text in this shaded area.
Use the XLMiner Analysis ToolPak to conduct your Linear Regression analysis.
After deleting all text in this shaded area, set the output range in the ToolPak to the top left cell of this area (J2).
Your Linear Regression analysis output should fit into this shaded area.
Editing
Σ ✓ AY
R
Give Feedback to Microsoft
Comments
T
S
>
100% +

Transcribed Image Text:X
Open spreadsheet
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
a. Use the F test to determine the overall significance of the relationship.
Compute F test statistic (to 2 decimals).
The p-value is
(to 3 decimals).
What is your conclusion at the .05 level of significance?
a significant overall relationship.
b. Use the t test to determine the significance of each independent variable.
Compute the t test statistic for the significance of SO/IP (to 2 decimals).
There is
+
The p-value is
(to 3 decimals).
What is your conclusion at the .05 level of significance?
significant.
SO/IP is
The p-value is
î
Compute the t test statistic for the significance of HR/IP (to 2 decimals).
(to 3 decimals).
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