Final answer:
The regression equation that best fits the data is y = 0.30x² + 0.48x + 15.83.
Step-by-step explanation:
The regression equation that best fits the data is y = 0.30x² + 0.48x + 15.83. To determine the best fit, we look for the equation that has the highest coefficient of determination (r²) and a significant correlation between the variables. The equation y = 0.30x² + 0.48x + 15.83 is a quadratic equation, which suggests a curvilinear relationship between the variables.