Introduction: Australia, a country with a total population of approximately 23,456,977 people (Australian Bureau of Statistics 2014) has been shown to have a growing economy improvement as the unemployment rate fell to 5.8% in March 2014. However, the number of full-time employed decreases by 22,100 while part-time employment increases by 48,200 (Australian Associated Press 2014). According to Denise Bradley's review, she suggested funding an additional 330,000 graduates by 2020 to cater for 40% of the population, strengthening and strengthening the quality control of the future workforce (Slattery, L 2008). According to the PC report, those who leave school early are more likely to receive lower pay than those with a higher level of education (McLachlan, R, Gilfillan, G & Gordan, J 2013). Based on this statement, the present research analysis was conducted to investigate whether there is any factual indication that there is a positive relationship between the level of education and the amount of wages earned.1. Hypothesis: Do people with higher incomes have a higher level of education than other people who do not? The issue does not extend to the area where only highly educated individuals are paid higher than those with lower education. Normally in reality, when there is an effect, it does not necessarily have only one specific causality, in fact there could be more.2. Methodologies: A field research was conducted and data was collected among individuals with different work fields with the following weighting: - This research result is classified according to gender to have a clearer view of the correlation between the variables. First, the average hourly wage earned by female respondents is less than $5 than that of male respondents, as shown in Figures 2.1 and 2.2, as women tend to apply for time off from work and eventually become difficult to follow up with male colleagues and get promoted. (Berman, J 2014). In addition to this, referring to Table 2.3 and Table 2.4 indicates that women are more easily influenced by age and education level than men. Where previous research focuses more on a single factor; therefore, in order to prevent possible multicollinearity problems, other components that would most likely impact wage allocation are also included. Components such as respondents:- Age Differs in terms of experience. Since age biases can influence individuals' judgments regarding certain situations (Acas 2006). It reflects the professionalism of the individual and the possibility of obtaining a promotion. Ability to speak multiple languages Individuals entering the workforce in 2014 with a fluent second language are expected to see a salary increase of 10%-15% gradually that it is easier to start a commercial activity (Chau, L 2014).