Correlation Analysis (2) – The relationship between age and annual income

2.6 Correlation Analysis (2) – The relationship between age and annual income

H1: There is a relationship between age and annual income.

H2: There is no relationship between age and annual income.

Analysis Results

The sampling size of the correlation is 414 (N=414). The results above show that the significant number is “.000”. Additionally, the correlation value of the two variables, age and annual income is a positive value at “.520”. Therefore, illustrating that here a positive relationship between two variables, meaning that hypothesis one (H1) is true. This also consequently, dismisses hypothesis two (H2) because the lower the value, the stronger the relation between the 2 variables.

Differences in social status and levels of education are some of the variables that influence the type of diet some individuals get, for example, a lower standard of diet separates lower incomes from the more affluent individual Households with higher incomes are more likely to purchase whole grains, milk and fresh vegetables. Lower-income households, however, consume more cereals and fatty meats (Drewnowsk and Eichelsdoerfer 2010). The results above in the Figure 1 show that the highest consumers of vegan diets are those between the ages of 21-25 and 35 – 40 years, with income of $AUD 45 000 and above. This shows that increase in age also results in increase of income. Therefore, those with higher income would be able to able to afford higher quality of vegan products.

1. 
   As age increases, income also increases thus allowing individuals to afford the vegan diets
   
2. 
   There is also an increase in the number of millennials preferring vegan diets
   
3. 
   In conclusion, annual income and age positively influence each other.