The independent variable of the study is “attending religious services” while the dependent variable is “political views”. The study mainly duels on correlation and regression for data analysis. The correlation coefficient is important in showing whether and how strongly religious service attendance and political views are related. Because the study is linear in nature, Pearson product-moment correlation coefficient is necessary to measure the direction and strength of the linear relationship between religious service attendance and political views. The value of Pearson’s correlation coefficient is influenced by the distribution of the independent (attending religious services) variable in the sample.
The descriptive results show that the mean and the standard deviation of the study are 4.19 and 1.404 respectively. The sample size for the study is 703. Taking 95% confidence interval, DF1 and DF2 are 8 and 694 respectively. This shows the difference of means between the groups with a significant level of 0.05. The p-value is the probability of obtaining a test statistic at least extreme as the one that was actually observed (Cronk, 2008). The p-value of the study is 0.01 at 95% confidence interval. The error term of the study is the mean square=1.853 with the harmonic mean sample size of 66.899. The harmonic mean is used in the study because the group sizes are not equal. The harmonic mean result shows that 66 out of 703 of the people interviewed attend religious services several times in a year. The confidence interval of the study is 95%. This shows that there is 95% confidence that the real value is within the calculated interval (mean). The Pearson correlation coefficient is 1. This means that there is a strong positive correlation between religious services and political views.