house and district. Hence,
h
0
is accepted, while
h
1
is rejected because p > 0.05
which is 0.158.

3.
Number of Rooms
Chi-Square Tests
Value
df
Asymptotic
Significance
(2-sided)
Pearson Chi-Square
57.333
a
39
0.029
Likelihood Ratio
42.912
39
0.307
Linear-by-Linear
Association
14.635
1
0.000
N of Valid Cases
20
a. 56 cells (100.0%) have expected count less than 5. The minimum expected count is .05.
Based on data above, we can see that the price of the house does affected by
district. The
h
1
stated that there is relationship between the price of the house
and district. Hence,
h
1
is accepted, while
h
0
is rejected because p < 0.05 which is
0.029.

ANOVA TEST
1.
District
ANOVA
Price (RM)
Sum of Squares
df
Mean Square
F
Sig.
Between
Groups
281250000.000
1
281250000.000
0.047
0.831
Within Groups
108173700000.000
18
###########
Total
108454950000.000
19
Based on the data above, the value of p is 0.831 which is bigger than 0.05.
Hence,
h
1
is rejected, while
h
0
is accepted. Therefore, there is no relationship
between the price of house and district.
Based on the graph above, the price of house at Skudai is higher than in Johor
Bahru.

2.
Tenure
ANOVA
Price (RM)
Sum of Squares
df
Mean Square
F
Sig.
Between
Groups
281250000.000
1
281250000.00
0
0.047
0.831
Within
Groups
108173700000.000
18
###########
Total
108454950000.000
19
Based on the data above, the value of p is 0.831 which is bigger than 0.05.
Hence,
h
1
is rejected, while
h
0
is accepted. Therefore, there is no relationship
between the price of house and tenure.
Based on the graph above, the price of house at leasehold is higher than in
freehold

3.
Number of Rooms
ANOVA
Price (RM)
Sum of Squares
df
Mean Square
F
Sig.
Between
Groups
84855516666.667
3
###########
19.177
0.000
Within Groups
23599433333.333
16
###########
Total
108454950000.000
19
Based on the data above, the value of p is 0.000 which is smaller than 0.05.
Hence,
h
0
is rejected, while
h
1
is accepted. Therefore, there is relationship
between the price of house and number of rooms.

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- Fall '13