Answer:
When plotting log wages (y-axis) against years of schooling (x-axis), the slope of the regression line indicates
the economic return to each additional year of schooling measured in dollars.
Step-by-step explanation:
While the slope indicates the steepness of a line, the intercept indicates the location where the slope intersects an axis. Together, the slope and the intercept define the linear relationship between the two variables: the independent and the dependent variables. They can be used to estimate an average rate of change. In a line of best fit, described by the equation ลท = bX + a, the slope of the line is b while a is the intercept (i.e., the value of Y when X = 0).