1. N A M A : N U R U L S H A M I E R A B I N T I M O H D
N O R I Z A N ( A 1 6 0 4 2 7 )
P E N S YA R A H : P R O F D AT O ’ D R I R R I Z A AT I Q
A B D U L L A H B I N O . K R A H M AT
TUGASAN 9: PISAH RAGAMAN
LMCP1352: ASAS-ASAS SAINS DATA DALAM PENGANGKUTAN
5. GRAF DAN GARISAN REGRESSI
y = -0.9623x + 3.5107
R² = 0.9834
-3.00000
-2.00000
-1.00000
0.00000
1.00000
2.00000
3.00000
4.00000
0.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00
Ln(1-P)/P
Kadar Parkir Satu Jam
6. ANGKA PARAMETER FUNGSI LOGISTIC
y = -0.9623x + 3.5107
R² = 0.9834
𝛼 = −0.9623
𝐶 = 3.5107
ln
1 − P
P
= α × kadar pakir 1 jam + C
ln
1−P
P
= −0.9623 × kadar pakir 1 jam + 3.5107
P =
1
1 + ⅇ−0.9623 × kadar pakir 1 jam+3.5107