Normality Test Linearity Test

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B. Analysis Prerequisites Test

1. Normality Test

Normality test was performed to determine the data was distribution of normal or not. Normality test used the komogorov- Smirnov formula were processed by statistic program. Data was said to be normally distributed if the coefficient Asym. Sign more than predetermined of 5 0,05. The table below was the result of data normality test, as follows: Table 20. The Result of Normality Test Source: Primary data was processed Based on the table above, the significant value of each variable. The variable of Teacher Profession Perception had a significant value of 0,551, the variable of accounting teacher interest of 0,242, and the variable of Family Environment had a significant value of 0,424. Those variables had a significant value more than 0,05, so the data has been distributed normally. This showed the sample has represented populations contained in this research.

2. Linearity Test

Linearity test was performed to determine the dependent variable and independent variables had a linear relationship. This test was performed used No Variable Name Asym. Sig. Alpha Condition Explanation 1 Teacher Profession Perception 0,551 0,05 S A Normal 2 Accounting Teacher Interest 0,242 0,05 S A Normal

3 Family Environment

0,424 0,05 S A Normal 55 F test in which the provisions of F count must be less than or equal to F table . The F-test used significant level of 5 0.05. Based on calculations used the helped of statistic program can be obtained data was linearity, as follows: Table 21. The Result of Linearity Test Source: Primary data was processed Based on the table above can be conclusion, as follows: a. Variable of Teacher Profession Perception showed the Fcount 1,515 ≤ Ftable 1,658 with a significant level of 0,05 and p value of 0,087 0,05. That showed the independent variable of Teacher Profession Perception X1 was linearly.It is means that every increase in variable of Teacher Profession Perception X1 will be followed by the increase score of Accounting Teacher Interest Y. b. Variable of Family Environment showed the Fcount 1,115 ≤ Ftable 1,659 with a significant level of 0,05 and p value of 0,337 0,05. That showed the independent variable of Family Environment X2 was linearly. It is means that every increase in variable of Family Environment X2 will be followed by the increase score of Accounting Teacher Interest Y.

3. Multicollinearity Test