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?
A) the regression equation Y = a + bX allows us to infer values of X when we know the value of Y
B) the regression equation Y = a + bX allows us to infer values of Y when we know the value of X
C) the regression equation requires that we know the values of X, Y, a and b when we begin doing the analysis
D) the regression equation has little, if anything, to do with the understanding of the distribution of points

Question

Quizplus · Accepted Answer

The regression equation Y = a + bX is used to predict values of the dependent variable (Y) based on the independent variable (X). This is the primary purpose of regression analysis.

When We Use Regression Analysis, We Are Finding the Regression