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 - 0.637 + 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? There a VO 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). The p-value is (to 3 decimals). What is your conclusion at the .05 level of significance? So/IP O significant. Compute the t test statistic for the significance of HR/IP (to 2 decimals). The p-value is (to 3 decimals). What is your conclusion at the .05 level of significance? HR/IP vO significant.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 4BGP
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Trying to find the answers to the x's and empty boxes. This was all the information I was given.

Player
2 Verlander, J
Beckett, J
Wilson, C
1
Team
L
ERA
SO/IP
HR/IP
R/IP
DET
24
2.39
1.00
0.09
0.28
After reading these ins tructions delete all text in this shaded area.
BOS
13
7
2.89
0.90
0.10
0.33
TEX
16
2.94
0.92
0.06
0.40
Use the XLMiner Analysis ToolPak to conduct your Linear Regression analysis.
4.
Sabathia, C
NYY
LAA
OAK
LAA
0.06
0.08
19
8
2.99
0.96
0.36
0.81
0.38
Haren, D
7 McCarthy, B
8 Santana, E
9 Lester, J
10 Hernandez, F
11 Buehrle, M
12 Pineda, M
13 Colon, B
16
10
3.17
After deleting all text in this shaded area, set the output range in the ToolPak to the top left cell of this area (J2).
9
3.31
0.71
0.06
0.43
11
12
3.37
0.78
0.10
0.41
Your Linear Regression analysis output should fit into this shaded area.
BOS
15
9
3.46
0.95
0.09
0.39
SEA
14
14
3.47
0.94
0.07
0.41
CWS
13
9
3.58
0.52
0.09
0.44
SEA
9
10
3.73
1.01
0.11
0.44
0.13
0.15
NYY
8
10
4.00
0.81
0.51
0.47
0.54
14 Tomlin, J
CLE
12
7
4.24
0.54
15 Pavano, C
16 Danks, J
17 Guthrie, J
18 Lewis, C
19 Scherzer, M
20 Davis, W
21 Porcello, R
MIN
9
13
4.29
0.45
0.09
CWS
8.
12
4.32
0.79
0.10
0.52
BAL
9
17
4.32
0.62
0.12
0.54
TEX
14
10
4.40
0.84
0.16
0.50
0.15
0.13
0.09
DET
15
9
4.43
0.89
0.51
4.44
4.74
ТВ
11
10
0.57
0.51
DET
14
0.56
0.56
22
23
24
25
26
27
Transcribed Image Text:Player 2 Verlander, J Beckett, J Wilson, C 1 Team L ERA SO/IP HR/IP R/IP DET 24 2.39 1.00 0.09 0.28 After reading these ins tructions delete all text in this shaded area. BOS 13 7 2.89 0.90 0.10 0.33 TEX 16 2.94 0.92 0.06 0.40 Use the XLMiner Analysis ToolPak to conduct your Linear Regression analysis. 4. Sabathia, C NYY LAA OAK LAA 0.06 0.08 19 8 2.99 0.96 0.36 0.81 0.38 Haren, D 7 McCarthy, B 8 Santana, E 9 Lester, J 10 Hernandez, F 11 Buehrle, M 12 Pineda, M 13 Colon, B 16 10 3.17 After deleting all text in this shaded area, set the output range in the ToolPak to the top left cell of this area (J2). 9 3.31 0.71 0.06 0.43 11 12 3.37 0.78 0.10 0.41 Your Linear Regression analysis output should fit into this shaded area. BOS 15 9 3.46 0.95 0.09 0.39 SEA 14 14 3.47 0.94 0.07 0.41 CWS 13 9 3.58 0.52 0.09 0.44 SEA 9 10 3.73 1.01 0.11 0.44 0.13 0.15 NYY 8 10 4.00 0.81 0.51 0.47 0.54 14 Tomlin, J CLE 12 7 4.24 0.54 15 Pavano, C 16 Danks, J 17 Guthrie, J 18 Lewis, C 19 Scherzer, M 20 Davis, W 21 Porcello, R MIN 9 13 4.29 0.45 0.09 CWS 8. 12 4.32 0.79 0.10 0.52 BAL 9 17 4.32 0.62 0.12 0.54 TEX 14 10 4.40 0.84 0.16 0.50 0.15 0.13 0.09 DET 15 9 4.43 0.89 0.51 4.44 4.74 ТВ 11 10 0.57 0.51 DET 14 0.56 0.56 22 23 24 25 26 27
Video
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.
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 = 0.537
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?
There is
O 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).
The p-value is
(to 3 decimals).
What is your conclusion at the .05 level of significance?
so/IP is
0 significant.
Compute the t test statistic for the significance of HR/IP (to 2 decimals).
The p-value is
(to 3 decimals).
What is your conclusion at the .05 level of significance?
HR/IP is
significant.
Check My Work
Reset Problem
Transcribed Image Text:Video 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. 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 = 0.537 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? There is O 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). The p-value is (to 3 decimals). What is your conclusion at the .05 level of significance? so/IP is 0 significant. Compute the t test statistic for the significance of HR/IP (to 2 decimals). The p-value is (to 3 decimals). What is your conclusion at the .05 level of significance? HR/IP is significant. Check My Work Reset Problem
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