To deepen our analysis, we'll perform a correlation analysis between the number of hours spent exercising per week and happiness levels. This will provide a numerical value indicating the strength and direction of the relationship between these two variables.

To address this research question, we'll perform a linear regression analysis. This will help us understand not just the relationship but also the significance of the effect of exercise hours on happiness levels.

To test the null hypothesis stated, we would typically conduct a hypothesis testing analysis, such as a t-test if comparing two groups, or ANOVA if comparing more than two groups, considering the exercise hours as a categorical variable (e.g., low, medium, high exercise hours). This would allow us to statistically evaluate if the mean happiness levels differ significantly based on the number of hours spent exercising per week.

However, since our dataset does not categorize exercise hours or provide a comparison group (individuals not exercising or exercising differently), we cannot directly apply this hypothesis testing approach without additional data or assumptions.

For a more tailored analysis or advice on how to proceed, more specific details or data would be required.