58 c.
Regression Line Equations The coefficient was 0,390 and the constant number of 28,466.
Regression line equation Y = 0,390X
1
+ 28.466. The equation showed that the coefficient of 0,390 which means if
Teacher Profession Perception X
1
results were high, it caused Accounting Teacher Interest will be higher Y of 0,390. That happened because both variables had possitive effect.
d. Significant Testing With T-Test
In this test is known that t
count
of 4.770 t
table
1,978 at significant level was 5 of
0.000 ≤ 0.05 with df of 130. The data showed, there was positive effect and significant between
Teacher Profession Perception X
1
toward Accounting Teacher Interest Y.
Based on the discussion above it can be concluded that the r
count
value was more than r
table
0.386 0.169, coefficient determination of 0.149 and t
count
more than t
table
4.770 1.978 with significant value 0,000 ≤ 0.05, so
the first hypothesis wass accepted. The conclusion was there was a positive effect and significant on
Teacher Profession Perception toward Accounting
Teacher Interest.
2. The Second Hypothesis Test
The second hypothesis test results showed that there was a positive effect and significant Family Environment toward Accounting Teacher
Interest. The following was the table of summary from analysis results the second hypothesis test, as follows:
59
Table 25. Results of Analysis The Second Hypothesis X
2
-Y
R Value Koef
Kons df
T Value Explanation
r
x2y
r
2 x2y
r
table
T
count
t
table
0,305 0,093 0,169 0,277 38,060 130 3,657 1,978 Possitive
Significant Source: Primary data was processed
a. Correlation Coeficient r
x2y
Based on the table above, the correlation coefficient r
x2y
showed a value of 0,305. It showed that the Family Environment X
2
had a positive effect toward Accounting Teacher Interest Y.
b. Coefficient of Determination r
2 x2y
The coefficient determination value based on the table showed of 0,093. It is mean was Family Environment X
2
was able to affect 9,3 toward Accounting Teacher Interest Y, and the remaining was to effect
by other factors. c.
Regession Line Equations The coefficient was 0,277 and the constant number of 38,060.
Regression line equation Y = 0,277X1 + 38.060. The equation showed that the coefficient of 0,277, which means if Family Environment X
2
results were high, Accounting Teacher Interest will be higher Y of 0,277. That happened because both variables had possitive effect.
d. Significant Testing With T-Test
In this test is known that t
count
of 3,657 t
table
1,978 at significant level was 5
of 0.000 ≤ 0.05 with df of 130. The data showed that there
60 was positive effect and significant between Family Environment X
2
toward Accounting Teacher Interest Y. Based on the discussion above it can be concluded that the r
count
value was more than rt
ablel
0,305 0,169, coefficient determination of 0,093 and t
count
more than t
table
3,657 1,978 with significant value 0,000 ≤ 0.05, so the second hypothesis was accepted. The conclusion
was there was a positive effect and significant on Family Environment toward Accounting Teacher Interest.
3. The Third Hypothesis Test
