Final answer:
Without the specific dataset, it is impossible to determine the exact line of best fit. However, based on the method of least-squares regression, which typically generates a line with a positive slope if there is a positive relationship between variables, the likely equation representing the line of best fit is Gy = 2.5x + 30.
The correct answer is B.
Step-by-step explanation:
The question asks which equation represents the line of best fit for a set of data on the number of goals by leading scorers for the Jack-Falcons Hockey team. To determine the line of best fit, we typically use a statistical method like least-squares regression. This method minimizes the sum of the squares of the residuals (the differences between observed and predicted values), resulting in a line that best describes the relationship between the independent variable (in this case, x, representing games or time periods) and the dependent variable (y, representing the number of goals).
Based on the information provided, we cannot definitively identify the correct equation without the specific dataset. However, if we look at the provided solutions, we see references to least-squares regression lines with positive slopes and intercepts. This suggests option b) Gy = 2.5x + 30 could likely be the line of best fit, assuming the data points yield a positive relationship between the number of games and the number of goals scored.