1 of 5

 

2 of 5

  •  

SS

df

MS

F

​

1

SSR/1=MSR

F=MSR/MSE

​

T-2

SSE/(T-2)=MSE

​

T-1

​

3 of 5

  •  

SS

df

MS

F

​

K-1

SSR/1=MSR

F=MSR/MSE

​

T-k

SSE/(T-k)=MSE

​

T-1

​

4 of 5

  •  

5 of 5

 

Analysis of Variance

 

Source

DF

Sum of Squares

Mean square

F Value

Model

(A)=4-1=3

16000

(E)=16000/3

​

Error

(B)=64-4=60

(C)=60*400=24000

(F)=20*20=400

 

Corrected Total

63

(D)=16000+24000=40000

 

 

S=

20

 

R-square=

​

Dependent Mean

55

 

Adi R-sq=

​

 

Parameter Estimates

 

Variable

Parameter Estimate

Standard Error

t-Value

 

Intercept

(?1)=25

15

(?5)=25/15=1.6667

 

​

(?2)=5

2.0

(J)=2.5

 

​

(?3)=10

8.0

(?6)=1.25

 

​

(?4)=8

2.0

(K)=8/2=4