Embed Size (px)
DESCRIPTION
Least-Squared Error Curve Fits for Sweetwater Rel. Humidity vs Temp, Week of Aug 03, 2014. 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 7 th order. - PowerPoint PPT Presentation
Citation preview
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
