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 2.88 0.91 0.11 0.33 Wilson, C TEX 16 7 2.93 0.92 0.07 0.39 Sabathia, C NYY 19 8 2.99 0.96 0.06 0.37 Haren, D LAA 16 10 3.17 0.81 0.07 0.37 McCarthy, B OAK 9 9 3.31 0.71 0.05 0.42 Santana, E LAA 11 12 3.37 0.78 0.10 0.41 Lester, J BOS 15 9 3.46 0.94 0.10 0.39 Hernandez, F SEA 14 14 3.47 0.95 0.07 0.41 Buehrle, M CWS 13 9 3.58 0.52 0.09 0.44 Pineda, M SEA 9 10 3.74 1.00 0.10 0.43 Colon, B NYY 8 10 4.00 0.81 0.12 0.52 Tomlin, J CLE 12 7 4.25 0.54 0.14 0.47 Pavano, C MIN 9 13 4.29 0.46 0.10 0.54 Danks, J CWS 8 12 4.33 0.79 0.11 0.51 Guthrie, J BAL 9 17 4.32 0.62 0.12 0.54 Lewis, C TEX 14 10 4.39 0.83 0.16 0.51 Scherzer, M DET 15 9 4.42 0.89 0.14 0.52 Davis, W TB 11 10 4.44 0.57 0.13 0.51 Porcello, R DET 14 9 4.75 0.56 0.09 0.57 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). + + Use the test to determine the overall significance of the relationship. Compute test statistic (to 2 decimals). The P-value is (to 3 decimals). What is your conclusion at the .05 level of significance? There a significant overall relationship. 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). What is your conclusion at the .05 level of significance? SO/IP significant. Compute the 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 significant.

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 2.88 0.91 0.11 0.33 Wilson, C TEX 16 7 2.93 0.92 0.07 0.39 Sabathia, C NYY 19 8 2.99 0.96 0.06 0.37 Haren, D LAA 16 10 3.17 0.81 0.07 0.37 McCarthy, B OAK 9 9 3.31 0.71 0.05 0.42 Santana, E LAA 11 12 3.37 0.78 0.10 0.41 Lester, J BOS 15 9 3.46 0.94 0.10 0.39 Hernandez, F SEA 14 14 3.47 0.95 0.07 0.41 Buehrle, M CWS 13 9 3.58 0.52 0.09 0.44 Pineda, M SEA 9 10 3.74 1.00 0.10 0.43 Colon, B NYY 8 10 4.00 0.81 0.12 0.52 Tomlin, J CLE 12 7 4.25 0.54 0.14 0.47 Pavano, C MIN 9 13 4.29 0.46 0.10 0.54 Danks, J CWS 8 12 4.33 0.79 0.11 0.51 Guthrie, J BAL 9 17 4.32 0.62 0.12 0.54 Lewis, C TEX 14 10 4.39 0.83 0.16 0.51 Scherzer, M DET 15 9 4.42 0.89 0.14 0.52 Davis, W TB 11 10 4.44 0.57 0.13 0.51 Porcello, R DET 14 9 4.75 0.56 0.09 0.57 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). + + Use the test to determine the overall significance of the relationship. Compute test statistic (to 2 decimals). The P-value is (to 3 decimals). What is your conclusion at the .05 level of significance? There a significant overall relationship. 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). What is your conclusion at the .05 level of significance? SO/IP significant. Compute the 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 significant.

A+ Guide To It Technical Support

10th Edition

ISBN:9780357108291

Author:ANDREWS, Jean.

Publisher:ANDREWS, Jean.

Chapter9: Supporting Mobile Devices

Section: Chapter Questions

Problem 17TC

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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	2.88	0.91	0.11	0.33
Wilson, C	TEX	16	7	2.93	0.92	0.07	0.39
Sabathia, C	NYY	19	8	2.99	0.96	0.06	0.37
Haren, D	LAA	16	10	3.17	0.81	0.07	0.37
McCarthy, B	OAK	9	9	3.31	0.71	0.05	0.42
Santana, E	LAA	11	12	3.37	0.78	0.10	0.41
Lester, J	BOS	15	9	3.46	0.94	0.10	0.39
Hernandez, F	SEA	14	14	3.47	0.95	0.07	0.41
Buehrle, M	CWS	13	9	3.58	0.52	0.09	0.44
Pineda, M	SEA	9	10	3.74	1.00	0.10	0.43
Colon, B	NYY	8	10	4.00	0.81	0.12	0.52
Tomlin, J	CLE	12	7	4.25	0.54	0.14	0.47
Pavano, C	MIN	9	13	4.29	0.46	0.10	0.54
Danks, J	CWS	8	12	4.33	0.79	0.11	0.51
Guthrie, J	BAL	9	17	4.32	0.62	0.12	0.54
Lewis, C	TEX	14	10	4.39	0.83	0.16	0.51
Scherzer, M	DET	15	9	4.42	0.89	0.14	0.52
Davis, W	TB	11	10	4.44	0.57	0.13	0.51
Porcello, R	DET	14	9	4.75	0.56	0.09	0.57

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).

+ +

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

Compute test statistic (to 2 decimals).

The P-value is (to 3 decimals).

What is your conclusion at the .05 level of significance?

There

a significant overall relationship.
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).

What is your conclusion at the .05 level of significance?

SO/IP

significant.

Compute the 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

significant.

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