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939683291542851 233334434445455 0116 IF 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 90777619800250026520 91270275420236933976 999Major League Baseball (MLB) consists of teams that play in the American League and the National League. MLB collects a wide vb. Use the t test to determine the significance of each independent variable. Compute the t test statistic for the significan

939683291542851 233334434445455 0116 IF 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 90777619800250026520 91270275420236933976 99998779950854768855 100000000001000000000 09306287694049230345 48901334457022334447 22233333333444444444 57780929490073270909 1 1 1 1 43696915439829894514 1 ENE MBJ.JJC er, W lo, nns e is e eui de oaau
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 s 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 - 552+-265 SO/I1.017 HR/IP a. Use the F test to determine the overall significance of the relationship. Compute F test statistic (to 2 decimals). 12.85 The p-value is 0.000 (to 3 decimals). What is your conclusion at the .05 level of significance? There isa 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) 2.55 The p-value is 0.021 (to 3 decimals) What is your conclusion at the .05 level of significance? P is significant. SO/I Compute the t test statistic for the significance of HR/IP (to 2 decimals). The p-value is What is your conclusion at the.05 level of significance? HR/IP (to 3 decimals). significant.
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Answer #1

Answer:

a).

R/Ip = 0.526+(-0.243)so/ip+ 1.086*hr/ip

F statistic = 11.89

b).

t test for so/ip = -3.42

p value is 0.003

so/ip is significant.

c).

t test for hr/ip = 2.40

p value is 0.028

hr/ip is significant.

Excel Addon Megastat used.

Menu used: correlation/Regression ---- Regression Analysis.

Regression Analysis

0.583

Adjusted R²

0.534

n

20

R

0.764

k

2

Std. Error of Estimate

0.053

Dep. Var.

r/ip

Regression output

confidence interval

variables

coefficients

std. error

   t (df=17)

p-value

95% lower

95% upper

Intercept

a =

0.526

so/ip

b1 =

-0.243

0.071

-3.416

.0033

-0.394

-0.093

hr/ip

b2 =

1.086

0.452

2.404

.0279

0.133

2.039

ANOVA table

Source

SS

df

MS

F

p-value

Regression

0.066

2  

0.033

11.89

.0006

Residual

0.047

17  

0.003

Total

0.112

19  

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