i. In order to visualize the form of the regression equation, we can draw a scatter diagram.
ii. The least squares technique minimizes the sum of the squares of the vertical distances between the actual Y values and the predicted values of Y.
Iii) In regression analysis, the predicted value of Y' rarely agrees exactly with the actual Y value, i.e., we expect some prediction error.
A) (i), (ii) and (iii) are all correct statements
B) (i) and (ii) are correct statements, but not (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) All statements are false

Question

i. In order to visualize the form of the regression equation, we can draw a scatter diagram. 
ii. The least squares technique minimizes the sum of the squares of the vertical distances between the actual Y values and the predicted values of Y.
Iii) In regression analysis, the predicted value of Y' rarely agrees exactly with the actual Y value, i.e., we expect some prediction error.
A) (i), (ii) and (iii) are all correct statements
B) (i) and (ii) are correct statements, but not (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) All statements are false

Quizplus · Accepted Answer

A scatter diagram helps visualize the relationship in regression, the least squares method minimizes the sum of squared differences between actual and predicted Y values, and prediction errors are common in regression analysis.

I in Order to Visualize the Form of the Regression