20) Below is some of the regression output from a simple regression of the number of wins for a major league baseball team and the size amount of money the team is paying its players (expressed in millions of $'s)*please fill in the blanks of the table*(show the scratch work so that I can understand) SUMMARY OUTPUT Wins v. Team PayrollRegression StatisticsMultiple RR SquareAdjusted R SquareStandard ErrorObservations30ANOVAdfSSMSRegression1032.61032.613.7Residual12109.775.3TotalUpper95%75.9CoefficientsStandard Error t StatP-valueLower 95%67.64.0216.83.515E-16 59.4Intercept0.06730.00090.387Payroll0.249

Below is some of the regression output from a simple regression of the number of wins for a major league baseball team and the size amount of money the team is paying its players (expressed in millions of $'s) *please fill in the

Below is some of the regression output from a simple regression of the number of wins for a major league baseball team and the size amount of money the team is paying its players (expressed in millions of $'s) *please fill in the

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter4: Eigenvalues And Eigenvectors

Section4.6: Applications And The Perron-frobenius Theorem

Problem 25EQ

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Question

20) Below is some of the regression output from a simple regression of the number of wins for a major league baseball team and the size amount of money the team is paying its players (expressed in millions of $'s) *please fill in the blanks of the table* (show the scratch work so that I can understand)

SUMMARY OUTPUT Wins v. Team Payroll
Regression Statistics
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
30
ANOVA
df
SS
MS
Regression
1032.6
1032.6
13.7
Residual
12109.7
75.3
Total
Upper
95%
75.9
Coefficients
Standard Error t Stat
P-value
Lower 95%
67.6
4.02
16.8
3.515E-16 59.4
Intercept
0.0673
0.0009
0.387
Payroll
0.249

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