Final Answer:
There is a positive correlation between the two quantitative data variables based on the regression analysis.
Step-by-step explanation:
The regression analysis was conducted to assess the relationship between the two quantitative data variables. The positive correlation indicates that as one variable increases, the other tends to increase as well.
This is supported by the positive coefficient in the regression equation. The strength and direction of the correlation can be further interpreted by the coefficient value, with a positive coefficient suggesting a positive relationship.
The significance level of the coefficient and the overall regression model should also be considered to ensure the reliability of the findings. In conclusion, the positive correlation identified in the regression analysis implies a direct association between the two variables, providing valuable insights into their interdependence.