0102030405060708090
60 70 80 90 100 110
Y (S
wee
twat
er R
H%
)
X (Sweetwater Temp F)
Polynomial Order = 1, R = 0.949
(x,y)
y-hat
0102030405060708090
60 70 80 90 100 110
Y (S
wee
twat
er R
H%
)
X (Sweetwater Temp F)
Polynomial Order = 2, R = 0.956
(x,y)
y-hat
0102030405060708090
60 70 80 90 100 110
Y (S
wee
twat
er R
H%
)
X (Sweetwater Temp F)
Polynomial Order = 3, R = 0.957
(x,y)
y-hat
0102030405060708090
60 70 80 90 100 110
Y (S
wee
twat
er R
H%
)
X (Sweetwater Temp F)
Polynomial Order = 4, R = 0.958
(x,y)
y-hat
Least-Squared Error Curve Fits for Sweetwater Rel. Humidity vs Temp, Week of Aug 03, 2014
0123456789
6 7 8 9 10 11
Y (S
wee
twat
er R
H%
)
X (Sweetwater Temp F)
Polynomial Order = 7, R = 0.959
(x,y)
y-hat
0123456789
6 7 8 9 10 11
Y (S
wee
twat
er R
H%
)
X (Sweetwater Temp F)
Polynomial Order = 5, R = 0.958
(x,y)
y-hat
0123456789
6 7 8 9 10 11
Y (S
wee
twat
er R
H%
)
X (Sweetwater Temp F)
Polynomial Order = 6, R = 0.959
(x,y)
y-hat
Dividing Temp and RH by 10 overcame the numerical precision problem caused by having huge pivot values, so that the process could continue through the 7th order