The equation is as follows.
The hours spent online per week = 27.174, -0.302 (age). From the equations, it was evident that a significant negative impact of age existed on the weekly number of hours spent on the internet. Therefore, age is inversely related to the number of hours spent on the internet per week. As the age increases, the time spent online reduces, b = -0.302, p = 0.00.
0.099 is the coefficient obtained, which means 9.1% variability in the dependent variable; “weekly hours spent on the internet” is explained by the predictor variable, age.
The correlation found (r)= -0.302), meaning a moderate negative relationship existed between the number of hours and age.
According to the above findings, it was summarized that a significant negative effect of age on time spent online exists. Though, the association is reasonable. The generation has a minute influence on forecasting the time spent on browsing. The coefficient of determination shows this. Generally, it can be concluded that older persons spend less time on the internet compared to young people.