1. The problem asks us to interpret the slope of the least squares regression line given by $$y = 2.078x - 98.013$$. 2. The formula for a linear regression line is $$y = mx + b$$, where $m$ is the slope and $b$ is the y-intercept. 3. The slope $m = 2.078$ represents the change in $y$ (sales) for each one unit increase in $x$ (calories). 4. Therefore, for each additional calorie in a pastry, the predicted increase in sales is exactly the slope value. 5. So, the least squares regression line predicts **2.078** additional sales for each additional calorie in a pastry. Final answer: 2.078 additional sales.