In calculating the regression coefficients we square the errors ...

[jjjetplane]

In calculating the regression coefficients we square the errors of prediction because
 
  a. statisticians square everything.
  b. the sum of the errors would always be 0 for a great many lines we could draw.
  c. squaring makes the errors more striking.
  d. little errors are more important than big errors.

Question 2

The notation (Y - ) represents
 
  a. our best prediction.
  b. the regression line.
  c. the predicted value.
  d. error in prediction.

[katheyjon]

Answer to Question 1

B

Answer to Question 2

D