When we use regression analysis, we are finding the regression equation that represents the geometrical line that comes closest to the distribution of points. This can be illustrated in which of the following? Option A the regression equation Y = a + bX allows us to infer values of X when we know the value of Y Option B the regression equation Y = a + bX allows us to infer values of Y when we know the value of X Option C the regression equation requires that we know the values of X, Y, a and b when we begin doing the analysis Option D the regression equation has little, if anything, to do with the understanding of the distribution of points