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====================================
PROGRAM MULTIPLE REGRESI
Mencari Nilai Kelembaban Udara (RH)
dengan nilai Pe-ubah TMax dan Tmin
====================================
b0 =
  191.4857

b1 =
   -4.6109

b2 =
    1.5335
====================================
Masukan Nilai TMax = 32.5
TX =
    32.5

Masukan Nilai Tmin = 20.3
TN =
    20.3
====================================
Kelembaban Udara   = 72.76
====================================

Regression Analysis: RH versus TX; TN

The regression equation is
RH = 191 - 4,61 TX + 1,53 TN

Predictor        Coef     SE Coef          T        P
Constant       191,49       81,14       2,36    0,026
TX             -4,611       2,557      -1,80    0,083
TN              1,533       1,015       1,51    0,142

S = 4,049       R-Sq = 14,7%     R-Sq(adj) = 8,3%

Analysis of Variance
Source            DF          SS          MS         F        P
Regression         2       76,01       38,01      2,32    0,118
Residual Error    27      442,65       16,39
Total             29      518,67

Source       DF      Seq SS
TX            1       38,57
TN            1       37,44

Unusual Observations
Obs         TX         RH         Fit      SE Fit    Residual    St Resid
27       32,2     70,000      77,977       0,926      -7,977       -2,02R
29       32,4     70,000      78,282       0,860      -8,282       -2,09R
R denotes an observation with a large standardized residual

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