Page 107 - Applied Statistics with R
P. 107
7.3. DECOMPOSITION OF VARIATION 107
SSReg (Sum of Squares Regression) SSE (Sum of Squares Error)
25 25
20 20
15 15
y y
10 10
5 5
0 0
0 2 4 6 8 10 0 2 4 6 8 10
x x
SST (Sum of Squares Total) SST (Sum of Squares Total)
25 25
20 20
15 15
y y
10 10
5 5
0 0
0 2 4 6 8 10 0 2 4 6 8 10
x x
The next plots again visually demonstrate the three “sums of squares,” this time
2
for a simulated dataset which has = 0.19. Notice in the final plot, that now
the blue arrows account for a larger proportion of the total arrow.

