A college hockey coach collected data from the 2016-2017 National Hockey League season to examine the impact of the number of shots taken on the number of goals scored. The coach conducted a preliminary analysis using scoring statistics from 65 offensive players who had played at least 44 games by the middle of the season. (Note: The data file also includes defensive players, but for this analysis, only offensive players were selected using the variable "Offense".) The coach aims to predict the number of goals scored based on the number of shots taken. To establish the regression model, the coach will use the equation: Goals = β0 + β1 * Shots. The slope coefficient (β1) in this context represents the change in the number of goals scored for each additional shot taken.