79
and the lowest one held by Bank Agroniaga for 0.00632. In 2006 highest value held by Bank Tabungan Pensiunan for 0.19843and the
lowest one held by Bank Agroniaga 0.0504. Highest means value during this research period is held by Bank
Tabungan Pensiunan for 0.229876 and the lowest one held by Bank Agroniaga 0.007087.
NINW
Figure 4.8 NINW Data
10. Net Worth to Total Liabilities
In this table below showing value of NWTL every company which listed in BEI in research period. In 2003, highest value is held by Bank
Bumi Artha for 1.23482 and the lowest one held by Bank Tabungan
-0.1 0.1
0.2 0.3
0.4 0.5
0.6 0.7
0.8 0.9
2003 2004
2005 2006
Bank Agroniaga Bank Bukopin
Bank Bum i Art ha Bank Capit al
Bank Ekonom i Bank Him punan Saudara
Bank Tabungan Negara
80
Negara -0.99. In 2004, highest value is held by Bank Agroniaga for 25.9409 and lowest one held by Bank Bukopin for 0.06065. In 2005,
highest value held by Bank Bumi Artha for 0.2085, and the lowest one held by Bank Bukopin for 0.07116. In 2006 highest value held by Bank
Bumi Artha for 0.19523 and the lowest one held by Bank Bukopin for 0.07116.
Highest means value during this research period is held by Agroniaga 6.564789599 and the lowest one held by Bank Tabungan
Negara 0.740599.
81
NWTL
Figure 4.9 NW TL DatA
C. Pre Analysis
1. Classic Assumption Test Based on the discussion made in subsection of Chapter 2, nine
hypotheses were formulated. The following nine hypotheses have been given at the previous chapter.
-5 5
10 15
20 25
30
2003 2004
2005 2006
Bank Agroniaga Bank Bukopin
Bank Bum i Art ha Bank Capit al
Bank Ekonom i Bank Him punan Saudara
Bank Tabungan Negara Bank Tabungan Pensiunan
Bank Windu Kent jana Bank Vict oria
Int ernat ional
82
Regression analysis is used to test the hypothesized relationship among variables; the result of each hypothesis is summarized here. All
result above measure with α = 0.05. a. Autocorrelation test
Examining autocorrelation in a research is aimed to recognize whether there is any correlation between intruder
variables e
t
or not, in certain period with the previous intruder variable e
t – 1
. To see the correlation between residuals, we examines Durbin Watson test. The simpler way to examines
autocorrelation between one variable and others is by seeing Durbin Watson’s number. A good model is model which the data has no
correlation between one residual and the other residuals. Since this research has the number of samples n 40, the
significance level α 0.05, and predictor variables k 9, we can find the upper and lower level of Durbin Watson for this research.
From the table of Durbin Watson, this research has Durbin Watson upper level d
u
for 1.67 and Durbin Watson lower level d
l
for 1.42.
This research has done the autocorrelation test through SPSS v.16. The table 4.12 shows that the number of Durbin Watson in
this research is 1.857.
