Final answer:
In multivariate regression, two important concepts are the slope of the regression equation and the y-intercept of the regression equation.
Step-by-step explanation:
In multivariate regression, two important concepts are the slope of the regression equation and the y-intercept of the regression equation. The slope of the regression equation represents the rate of change in the dependent variable for a one-unit increase in the independent variable.
For example, if the slope is 2, it means that for every one-unit increase in the independent variable, the dependent variable on average increases by 2 units.
The y-intercept of the regression equation represents the predicted value of the dependent variable when the independent variable is zero. It is the point where the regression line intersects the y-axis.