A baseball analyst would like to develop a model to predict the number of wins during the 2014 baseball season. The analyst collected several variables: Wins, ERA, Runs Scored, Hits and Saves from 27 professional baseball teams. The data is shows below.
Regression Statistics 

Multiple R 
0.9232 
Observations 
27 

df 
SS 
MS 
F 
Significance
F 
Regression 
?? 
469.348 
?? 
?? 
0.000145539 
Residual 
?? 
?? 
?? 


Total 
?? 
746.297 



Variable 
Coefficient 
Standard
Error 
T
value 
P
value 
Lower
95% 
Upper
95% 
Intercept 
72.456 
14.417 
5.02573 
0.00002 
?? 
?? 
ERA 
10.234 
3.3201 
?? 
0.0007 
17.1194 
3.348 
Runs Scored 
0.0723 
0.0086 
8.40698 
0.00123 
0.05446 
0.09013 
Hits 
0.0174 
0.01132 
?? 
0.0457 
0.04087 
0.00607 
Saves 
2.215 
1.218 
?? 
0.06234 
?? 
?? 
1) Fill in the tables with the missing values? (You should have 14 different values you need to find)
2) What is the coefficient of determination?
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